Coronavirus (COVID-19) Tweets Dataset

Citation Author(s):
Rabindra
Lamsal
The University of Melbourne, Australia; Previous affiliation: JNU, New Delhi
Submitted by:
Rabindra Lamsal
Last updated:
Fri, 10/22/2021 - 00:42
DOI:
10.21227/781w-ef42
Data Format:
Links:
License:
4.789475
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Abstract 

This dataset includes CSV files that contain IDs and sentiment scores of the tweets related to the COVID-19 pandemic. The real-time Twitter feed is monitored for coronavirus-related tweets using 90+ different keywords and hashtags that are commonly used while referencing the pandemic. The oldest tweets in this dataset date back to October 01, 2019. This dataset has been wholly re-designed on March 20, 2020, to comply with the content redistribution policy set by Twitter. Twitter's policy restricts the sharing of Twitter data other than IDs; therefore, only the tweet IDs are released through this dataset. You need to hydrate the tweet IDs in order to get complete data. For detailed instructions on the hydration of tweet IDs, please read this article. The paper associated with this dataset is available here: Design and analysis of a large-scale COVID-19 tweets dataset.

Below is a quick overview of this dataset.

— Dataset name: COV19Tweets Dataset

— Number of tweets : 1,694,723,134 tweets

— Coverage : Global

— Language : English (EN)

— Dataset usage terms : By using this dataset, you agree to (i) use the content of this dataset and the data generated from the content of this dataset for non-commercial research only, (ii) remain in compliance with Twitter's Policy and (iii) cite the following paper:

Lamsal, R. Design and analysis of a large-scale COVID-19 tweets dataset. Appl Intell 51, 2790–2804 (2021). https://doi.org/10.1007/s10489-020-02029-z

BibTeX:

@article{lamsal2021design,
title={Design and analysis of a large-scale COVID-19 tweets dataset},
author={Lamsal, Rabindra},
journal={Applied Intelligence},
volume={51},
number={5},
pages={2790--2804},
year={2021},
publisher={Springer}
}

— Geo-tagged Version: Coronavirus (COVID-19) Geo-tagged Tweets Dataset (GeoCOV19Tweets Dataset)

— Dataset updates : Everyday

— Active keywords and hashtags (archive: keywords.tsv) : corona, #corona, coronavirus, #coronavirus, covid, #covid, covid19, #covid19, covid-19, #covid-19, sarscov2, #sarscov2, sars cov2, sars cov 2, covid_19, #covid_19, #ncov, ncov, #ncov2019, ncov2019, 2019-ncov, #2019-ncov, pandemic, #pandemic #2019ncov, 2019ncov, quarantine, #quarantine, flatten the curve, flattening the curve, #flatteningthecurve, #flattenthecurve, hand sanitizer, #handsanitizer, #lockdown, lockdown, social distancing, #socialdistancing, work from home, #workfromhome, working from home, #workingfromhome, ppe, n95, #ppe, #n95, #covidiots, covidiots, herd immunity, #herdimmunity, pneumonia, #pneumonia, chinese virus, #chinesevirus, wuhan virus, #wuhanvirus, kung flu, #kungflu, wearamask, #wearamask, wear a mask, vaccine, vaccines, #vaccine, #vaccines, corona vaccine, corona vaccines, #coronavaccine, #coronavaccines, face shield, #faceshield, face shields, #faceshields, health worker, #healthworker, health workers, #healthworkers, #stayhomestaysafe, #coronaupdate, #frontlineheroes, #coronawarriors, #homeschool, #homeschooling, #hometasking, #masks4all, #wfh, wash ur hands, wash your hands, #washurhands, #washyourhands, #stayathome, #stayhome, #selfisolating, self isolating 

Important Notes:

> Dataset files are published in chronological order.

> Twitter's content redistribution policy restricts the sharing of tweet information other than tweet IDs and/or user IDs. Twitter wants researchers to always pull fresh data. It is because a user might delete a tweet or make his/her profile protected.

> Retweets are excluded in the files corona_tweets_chi.csv and earlier.

> Only the tweet IDs are available (sentiment scores are not available) for the tweets present in the files: corona_tweets_11b.csvcorona_tweets_223.csv, corona_tweets_297.csv, corona_tweets_395.csv and the files containing tweets from before March 20, 2020.

> March 29, 2020 04:02 PM - March 30, 2020 02:00 PM -- Some technical fault has occurred. Preventive measures have been taken. Tweets for this session won't be available. [update: the tweets for this session are now available in the corona_tweets_11b.csv file; retweets are excluded though]

> Please go through the Dataset Files section for specific notes.

> There's a Combined_Files section (at the bottom of the dataset files list) if you want to download dataset files in bulk.

> The naming convention for the later added CSVs (tweets from before March 20, 2020) will have a greek alphabet name instead of a numeric counter. I'll start with the last greek alphabet name "omega" and proceed up towards "alpha".

> If you want access to tweets older than October 01, 2019, feel free to reach out to me at rlamsal [at] student.unimelb.edu.au using your academic/research institution email.

Dataset Files (GMT+5:45)

--------- tweets from before March 20, 2020 ---------

corona_tweets_theta.csv: 418,625 tweets (October 01, 2019 12:00 AM - October 18, 2019, 07:51 AM)

corona_tweets_iota.csv: 1,000,000 tweets (October 18, 2019, 07:51 AM - December 01, 2019 01:25 AM)

corona_tweets_kappa.csv: 1,000,000 tweets (December 01, 2019 01:25 AM - January 09, 2020, 10:20 PM)

corona_tweets_lambda.csv: 1,000,000 tweets (January 09, 2020, 10:20 PM - January 26, 2020, 05:14 PM)

corona_tweets_mu.csv: 1,000,000 tweets (January 26, 2020, 05:14 PM - January 31, 2020, 07:18 AM)

corona_tweets_nu.csv: 1,000,000 tweets (January 31, 2020, 07:18 AM - February 05, 2020 03:38 PM)

corona_tweets_xi.csv: 4,003,032 tweets (February 05, 2020 03:38 PM - February 28, 2020 04:27 AM)

corona_tweets_omicron.csv: 3,000,000 tweets (February 28, 2020 04:27 AM - March 04, 2020 03:36 PM)

corona_tweets_pi.csv: 3,000,000 tweets (March 04, 2020 03:36 PM - March 09, 2020 07:58 AM)

corona_tweets_rho.csv: 3,990,232 tweets (March 09, 2020 07:58 AM - March 12, 2020 12:01 PM)

corona_tweets_sigma.csv: 3,000,000 tweets (March 12, 2020 12:01 PM - March 13, 2020 07:13 PM)

corona_tweets_tau.csv: 3,000,000 tweets (March 13, 2020 07:13 PM - March 15, 2020 04:03 AM)

corona_tweets_upsilon.csv: 3,999,408 tweets (March 15, 2020 04:03 AM - March 17, 2020 03:25 AM)

corona_tweets_phi.csv: 3,000,000 tweets (March 17, 2020 03:25 AM - March 18, 2020 06:51 AM)

corona_tweets_chi.csv: 3,000,000 tweets (March 18, 2020 06:51 AM - March 19, 2020 10:57 AM)

corona_tweets_psi.csv: 3,878,586 tweets (March 19, 2020 10:57 AM - March 19, 2020 08:04 PM)

corona_tweets_omega.csv: 4,000,000 tweets (March 19, 2020 08:04 PM - March 20, 2020 01:37 AM)

----------------------------------

corona_tweets_01.csv + corona_tweets_02.csv + corona_tweets_03.csv: 2,475,980 tweets (March 20, 2020 01:37 AM - March 21, 2020 09:25 AM)

corona_tweets_04.csv: 1,233,340 tweets (March 21, 2020 09:27 AM - March 22, 2020 07:46 AM)

corona_tweets_05.csv: 1,782,157 tweets (March 22, 2020 07:50 AM - March 23, 2020 09:08 AM)

corona_tweets_06.csv: 1,771,295 tweets (March 23, 2020 09:11 AM - March 24, 2020 11:35 AM)

corona_tweets_07.csv: 1,479,651 tweets (March 24, 2020 11:42 AM - March 25, 2020 11:43 AM)

corona_tweets_08.csv: 1,272,592 tweets (March 25, 2020 11:47 AM - March 26, 2020 12:46 PM)

corona_tweets_09.csv: 1,091,429 tweets (March 26, 2020 12:51 PM - March 27, 2020 11:53 AM)

corona_tweets_10.csv: 1,172,013 tweets (March 27, 2020 11:56 AM - March 28, 2020 01:59 PM)

corona_tweets_11.csv: 1,141,210 tweets (March 28, 2020 02:03 PM - March 29, 2020 04:01 PM)

corona_tweets_11b.csv: 1,677,362 tweets (March 29, 2020 04:01 PM - March 30, 2020 02:01 PM)

corona_tweets_12.csv: 793,417 tweets (March 30, 2020 02:01 PM - March 31, 2020 10:16 AM)

corona_tweets_13.csv: 1,029,294 tweets (March 31, 2020 10:20 AM - April 01, 2020 10:59 AM)

corona_tweets_14.csv: 920,076 tweets (April 01, 2020 11:02 AM - April 02, 2020 12:19 PM)

corona_tweets_15.csv: 826,271 tweets (April 02, 2020 12:21 PM - April 03, 2020 02:38 PM)

corona_tweets_16.csv: 612,512 tweets (April 03, 2020 02:40 PM - April 04, 2020 11:54 AM)

corona_tweets_17.csv: 685,560 tweets (April 04, 2020 11:56 AM - April 05, 2020 12:54 PM)

corona_tweets_18.csv: 717,301 tweets (April 05, 2020 12:56 PM - April 06, 2020 10:57 AM)

corona_tweets_19.csv: 722,921 tweets (April 06, 2020 10:58 AM - April 07, 2020 12:28 PM)

corona_tweets_20.csv: 554,012 tweets (April 07, 2020 12:29 PM - April 08, 2020 12:34 PM)

corona_tweets_21.csv: 589,679 tweets (April 08, 2020 12:37 PM - April 09, 2020 12:18 PM)

corona_tweets_22.csv: 517,718 tweets (April 09, 2020 12:20 PM - April 10, 2020 09:20 AM)

corona_tweets_23.csv: 601,199 tweets (April 10, 2020 09:22 AM - April 11, 2020 10:22 AM)

corona_tweets_24.csv: 497,655 tweets (April 11, 2020 10:24 AM - April 12, 2020 10:53 AM)

corona_tweets_25.csv: 477,182 tweets (April 12, 2020 10:57 AM - April 13, 2020 11:43 AM)

corona_tweets_26.csv: 288,277 tweets (April 13, 2020 11:46 AM - April 14, 2020 12:49 AM)

corona_tweets_27.csv: 515,739 tweets (April 14, 2020 11:09 AM - April 15, 2020 12:38 PM)

corona_tweets_28.csv: 427,088 tweets (April 15, 2020 12:40 PM - April 16, 2020 10:03 AM)

corona_tweets_29.csv: 433,368 tweets (April 16, 2020 10:04 AM - April 17, 2020 10:38 AM)

corona_tweets_30.csv: 392,847 tweets (April 17, 2020 10:40 AM - April 18, 2020 10:17 AM)

> With the addition of some more coronavirus specific keywords, the number of tweets captured day has increased significantly, therefore, the CSV files hereafter will be zipped. Lets save some bandwidth.

corona_tweets_31.csv: 2,671,818 tweets (April 18, 2020 10:19 AM - April 19, 2020 09:34 AM)

corona_tweets_32.csv: 2,393,006 tweets (April 19, 2020 09:43 AM - April 20, 2020 10:45 AM)

corona_tweets_33.csv: 2,227,579 tweets (April 20, 2020 10:56 AM - April 21, 2020 10:47 AM)

corona_tweets_34.csv: 2,211,689 tweets (April 21, 2020 10:54 AM - April 22, 2020 10:33 AM)

corona_tweets_35.csv: 2,265,189 tweets (April 22, 2020 10:45 AM - April 23, 2020 10:49 AM)

corona_tweets_36.csv: 2,201,138 tweets (April 23, 2020 11:08 AM - April 24, 2020 10:39 AM)

corona_tweets_37.csv: 2,338,713 tweets (April 24, 2020 10:51 AM - April 25, 2020 11:50 AM)

corona_tweets_38.csv: 1,981,835 tweets (April 25, 2020 12:20 PM - April 26, 2020 09:13 AM)

corona_tweets_39.csv: 2,348,827 tweets (April 26, 2020 09:16 AM - April 27, 2020 10:21 AM)

corona_tweets_40.csv: 2,212,216 tweets (April 27, 2020 10:33 AM - April 28, 2020 10:09 AM)

corona_tweets_41.csv: 2,118,853 tweets (April 28, 2020 10:20 AM - April 29, 2020 08:48 AM)

corona_tweets_42.csv: 2,390,703 tweets (April 29, 2020 09:09 AM - April 30, 2020 10:33 AM)

corona_tweets_43.csv: 2,184,439 tweets (April 30, 2020 10:53 AM - May 01, 2020 10:18 AM)

corona_tweets_44.csv: 2,223,013 tweets (May 01, 2020 10:23 AM - May 02, 2020 09:54 AM)

corona_tweets_45.csv: 2,216,553 tweets (May 02, 2020 10:18 AM - May 03, 2020 09:57 AM)

corona_tweets_46.csv: 2,266,373 tweets (May 03, 2020 10:09 AM - May 04, 2020 10:17 AM)

corona_tweets_47.csv: 2,227,489 tweets (May 04, 2020 10:32 AM - May 05, 2020 10:17 AM)

corona_tweets_48.csv: 2,218,774 tweets (May 05, 2020 10:38 AM - May 06, 2020 10:26 AM)

corona_tweets_49.csv: 2,164,251 tweets (May 06, 2020 10:35 AM - May 07, 2020 09:33 AM)

corona_tweets_50.csv: 2,203,686 tweets (May 07, 2020 09:55 AM - May 08, 2020 09:35 AM)

corona_tweets_51.csv: 2,250,019 tweets (May 08, 2020 09:39 AM - May 09, 2020 09:49 AM)

corona_tweets_52.csv: 2,273,705 tweets (May 09, 2020 09:55 AM - May 10, 2020 10:11 AM)

corona_tweets_53.csv: 2,208,264 tweets (May 10, 2020 10:23 AM - May 11, 2020 09:57 AM)

corona_tweets_54.csv: 2,216,845 tweets (May 11, 2020 10:08 AM - May 12, 2020 09:52 AM)

corona_tweets_55.csv: 2,264,472 tweets (May 12, 2020 09:59 AM - May 13, 2020 10:14 AM)

corona_tweets_56.csv: 2,339,709 tweets (May 13, 2020 10:24 AM - May 14, 2020 11:21 AM)

corona_tweets_57.csv: 2,096,878 tweets (May 14, 2020 11:38 AM - May 15, 2020 09:58 AM)

corona_tweets_58.csv: 2,214,205 tweets (May 15, 2020 10:13 AM - May 16, 2020 09:43 AM)

> The server and the databases have been optimized; therefore, there is a significant rise in the number of tweets captured per day.

corona_tweets_59.csv: 3,389,090 tweets (May 16, 2020 09:58 AM - May 17, 2020 10:34 AM)

corona_tweets_60.csv: 3,530,933 tweets (May 17, 2020 10:36 AM - May 18, 2020 10:07 AM)

corona_tweets_61.csv: 3,899,631 tweets (May 18, 2020 10:08 AM - May 19, 2020 10:07 AM)

corona_tweets_62.csv: 3,767,009 tweets (May 19, 2020 10:08 AM - May 20, 2020 10:06 AM)

corona_tweets_63.csv: 3,790,455 tweets (May 20, 2020 10:06 AM - May 21, 2020 10:15 AM)

corona_tweets_64.csv: 3,582,020 tweets (May 21, 2020 10:16 AM - May 22, 2020 10:13 AM)

corona_tweets_65.csv: 3,461,470 tweets (May 22, 2020 10:14 AM - May 23, 2020 10:08 AM)

corona_tweets_66.csv: 3,477,564 tweets (May 23, 2020 10:08 AM - May 24, 2020 10:02 AM)

corona_tweets_67.csv: 3,656,446 tweets (May 24, 2020 10:02 AM - May 25, 2020 10:10 AM)

corona_tweets_68.csv: 3,474,952 tweets (May 25, 2020 10:11 AM - May 26, 2020 10:22 AM)

corona_tweets_69.csv: 3,422,960 tweets (May 26, 2020 10:22 AM - May 27, 2020 10:16 AM)

corona_tweets_70.csv: 3,480,999 tweets (May 27, 2020 10:17 AM - May 28, 2020 10:35 AM)

corona_tweets_71.csv: 3,446,008 tweets (May 28, 2020 10:36 AM - May 29, 2020 10:07 AM)

corona_tweets_72.csv: 3,492,841 tweets (May 29, 2020 10:07 AM - May 30, 2020 10:14 AM)

corona_tweets_73.csv: 3,098,817 tweets (May 30, 2020 10:15 AM - May 31, 2020 10:13 AM)

corona_tweets_74.csv: 3,234,848 tweets (May 31, 2020 10:13 AM - June 01, 2020 10:14 AM)

corona_tweets_75.csv: 3,206,132 tweets (June 01, 2020 10:15 AM - June 02, 2020 10:07 AM)

corona_tweets_76.csv: 3,206,417 tweets (June 02, 2020 10:08 AM - June 03, 2020 10:26 AM)

corona_tweets_77.csv: 3,256,225 tweets (June 03, 2020 10:27 AM - June 04, 2020 10:23 AM)

corona_tweets_78.csv: 2,205,123 tweets (June 04, 2020 10:26 AM - June 05, 2020 10:03 AM)

corona_tweets_79.csv: 3,381,184 tweets (June 05, 2020 10:11 AM - June 06, 2020 10:16 AM)

corona_tweets_80.csv: 3,194,500 tweets (June 06, 2020 10:17 AM - June 07, 2020 10:24 AM)

corona_tweets_81.csv: 2,768,780 tweets (June 07, 2020 10:25 AM - June 08, 2020 10:13 AM)

corona_tweets_82.csv: 3,032,227 tweets (June 08, 2020 10:13 AM - June 09, 2020 10:12 AM)

corona_tweets_83.csv: 2,984,970 tweets (June 09, 2020 10:12 AM - June 10, 2020 10:13 AM)

corona_tweets_84.csv: 3,068,002 tweets (June 10, 2020 10:14 AM - June 11, 2020 10:11 AM)

corona_tweets_85.csv: 3,261,215 tweets (June 11, 2020 10:12 AM - June 12, 2020 10:10 AM)

corona_tweets_86.csv: 3,378,901 tweets (June 12, 2020 10:11 AM - June 13, 2020 10:10 AM)

corona_tweets_87.csv: 3,011,103 tweets (June 13, 2020 10:11 AM - June 14, 2020 10:08 AM)

corona_tweets_88.csv: 3,154,328 tweets (June 14, 2020 10:09 AM - June 15, 2020 10:10 AM)

corona_tweets_89.csv: 3,837,552 tweets (June 15, 2020 10:10 AM - June 16, 2020 10:10 AM)

corona_tweets_90.csv: 3,889,262 tweets (June 16, 2020 10:11 AM - June 17, 2020 10:10 AM)

corona_tweets_91.csv: 3,688,348 tweets (June 17, 2020 10:10 AM - June 18, 2020 10:09 AM)

corona_tweets_92.csv: 3,673,328 tweets (June 18, 2020 10:10 AM - June 19, 2020 10:10 AM)

corona_tweets_93.csv: 3,634,172 tweets (June 19, 2020 10:10 AM - June 20, 2020 10:10 AM)

corona_tweets_94.csv: 3,610,992 tweets (June 20, 2020 10:10 AM - June 21, 2020 10:10 AM)

corona_tweets_95.csv: 3,352,643 tweets (June 21, 2020 10:10 AM - June 22, 2020 10:10 AM)

corona_tweets_96.csv: 3,730,105 tweets (June 22, 2020 10:10 AM - June 23, 2020 10:09 AM)

corona_tweets_97.csv: 3,936,238 tweets (June 23, 2020 10:10 AM - June 24, 2020 10:09 AM)

corona_tweets_98.csv: 3,858,387 tweets (June 24, 2020 10:10 AM - June 25, 2020 10:09 AM)

corona_tweets_99.csv: 3,883,506 tweets (June 25, 2020 10:10 AM - June 26, 2020 10:09 AM)

corona_tweets_100.csv: 3,941,476 tweets (June 26, 2020 10:09 AM - June 27, 2020 10:10 AM)

corona_tweets_101.csv: 3,816,987 tweets (June 27, 2020 10:11 AM - June 28, 2020 10:10 AM)

corona_tweets_102.csv: 3,743,358 tweets (June 28, 2020 10:10 AM - June 29, 2020 10:10 AM)

corona_tweets_103.csv: 3,880,998 tweets (June 29, 2020 10:10 AM - June 30, 2020 10:10 AM)

corona_tweets_104.csv: 3,926,862 tweets (June 30, 2020 10:10 AM - July 01, 2020 10:10 AM)

corona_tweets_105.csv: 4,365,171 tweets (July 01, 2020 10:11 AM - July 02, 2020 12:28 PM)

corona_tweets_106.csv: 3,563,659 tweets (July 02, 2020 12:29 PM - July 03, 2020 10:10 AM)

corona_tweets_107.csv: 3,446,100 tweets (July 03, 2020 10:10 AM - July 04, 2020 07:00 AM)

corona_tweets_108.csv: 4,076,176 tweets (July 04, 2020 07:01 AM - July 05, 2020 09:16 AM)

corona_tweets_109.csv: 3,827,904 tweets (July 05, 2020 09:17 AM - July 06, 2020 10:10 AM)

corona_tweets_110.csv: 3,991,881 tweets (July 06, 2020 10:10 AM - July 07, 2020 10:10 AM)

corona_tweets_111.csv: 4,104,245 tweets (July 07, 2020 10:11 AM - July 08, 2020 10:10 AM)

corona_tweets_112.csv: 4,032,945 tweets (July 08, 2020 10:10 AM - July 09, 2020 10:10 AM)

corona_tweets_113.csv: 3,912,560 tweets (July 09, 2020 10:10 AM - July 10, 2020 10:12 AM)

corona_tweets_114.csv: 4,024,227 tweets (July 10, 2020 10:12 AM - July 11, 2020 10:20 AM)

corona_tweets_115.csv: 3,746,316 tweets (July 11, 2020 10:20 AM - July 12, 2020 10:09 AM)

corona_tweets_116.csv: 3,902,393 tweets (July 12, 2020 10:10 AM - July 13, 2020 10:09 AM)

corona_tweets_117.csv: 4,045,441 tweets (July 13, 2020 10:10 AM - July 14, 2020 10:09 AM)

corona_tweets_118.csv: 4,130,726 tweets (July 14, 2020 10:10 AM - July 15, 2020 10:25 AM)

corona_tweets_119.csv: 4,106,648 tweets (July 15, 2020 10:26 AM - July 16, 2020 10:10 AM)

corona_tweets_120.csv: 4,083,573 tweets (July 16, 2020 10:11 AM - July 17, 2020 10:10 AM)

corona_tweets_121.csv: 4,014,323 tweets (July 17, 2020 10:10 AM - July 18, 2020 10:25 AM)

corona_tweets_122.csv: 3,639,620 tweets (July 18, 2020 10:25 AM - July 19, 2020 10:30 AM)

corona_tweets_123.csv: 3,600,404 tweets (July 19, 2020 10:30 AM - July 20, 2020 10:10 AM)

corona_tweets_124.csv: 3,777,908 tweets (July 20, 2020 10:11 AM - July 21, 2020 10:10 AM)

corona_tweets_125.csv: 3,771,150 tweets (July 21, 2020 10:11 AM - July 22, 2020 10:10 AM)

corona_tweets_126.csv: 3,691,852 tweets (July 22, 2020 10:10 AM - July 23, 2020 10:10 AM)

corona_tweets_127.csv: 3,661,885 tweets (July 23, 2020 10:10 AM - July 24, 2020 10:10 AM)

corona_tweets_128.csv: 3,621,819 tweets (July 24, 2020 10:10 AM - July 25, 2020 10:20 AM)

corona_tweets_129.csv: 3,512,553 tweets (July 25, 2020 10:20 AM - July 26, 2020 10:10 AM)

corona_tweets_130.csv: 3,399,349 tweets (July 26, 2020 10:11 AM - July 27, 2020 10:10 AM)

corona_tweets_131.csv: 3,889,978 tweets (July 27, 2020 10:10 AM - July 28, 2020 10:10 AM)

corona_tweets_132.csv: 4,167,168 tweets (July 28, 2020 10:10 AM - July 29, 2020 10:10 AM)

corona_tweets_133.csv: 4,007,131 tweets (July 29, 2020 10:10 AM - July 30, 2020 10:10 AM)

corona_tweets_134.csv: 3,968,762 tweets (July 30, 2020 10:10 AM - July 31, 2020 10:10 AM)

corona_tweets_135.csv: 3,867,434 tweets (July 31, 2020 10:10 AM - August 01, 2020 10:12 AM)

corona_tweets_136.csv: 3,533,863 tweets (August 01, 2020 10:12 AM - August 02, 2020 10:10 AM)

corona_tweets_137.csv: 3,748,433 tweets (August 02, 2020 10:10 AM - August 03, 2020 10:10 AM)

corona_tweets_138.csv: 3,810,246 tweets (August 03, 2020 10:10 AM - August 04, 2020 10:12 AM)

corona_tweets_139.csv: 3,726,039 tweets (August 04, 2020 10:12 AM - August 05, 2020 10:10 AM)

corona_tweets_140.csv: 3,770,597 tweets (August 05, 2020 10:10 AM - August 06, 2020 10:10 AM)

corona_tweets_141.csv: 3,839,194 tweets (August 06, 2020 10:10 AM - August 07, 2020 10:10 AM)

corona_tweets_142.csv: 3,702,517 tweets (August 07, 2020 10:11 AM - August 08, 2020 10:10 AM)

corona_tweets_143.csv: 3,482,091 tweets (August 08, 2020 10:11 AM - August 09, 2020 10:10 AM)

corona_tweets_144.csv: 3,822,854 tweets (August 09, 2020 10:10 AM - August 10, 2020 10:10 AM)

corona_tweets_145.csv: 3,911,443 tweets (August 10, 2020 10:10 AM - August 11, 2020 10:10 AM)

corona_tweets_146.csv: 3,838,286 tweets (August 11, 2020 10:10 AM - August 12, 2020 10:10 AM)

corona_tweets_147.csv: 3,624,028 tweets (August 12, 2020 10:10 AM - August 13, 2020 10:10 AM)

corona_tweets_148.csv: 3,749,980 tweets (August 13, 2020 10:10 AM - August 14, 2020 10:10 AM)

corona_tweets_149.csv: 3,683,305 tweets (August 14, 2020 10:10 AM - August 15, 2020 10:10 AM)

corona_tweets_150.csv: 3,187,087 tweets (August 15, 2020 10:10 AM - August 16, 2020 10:10 AM)

corona_tweets_151.csv: 3,181,939 tweets (August 16, 2020 10:10 AM - August 17, 2020 10:10 AM)

corona_tweets_152.csv: 3,680,958 tweets (August 17, 2020 10:10 AM - August 18, 2020 10:10 AM)

corona_tweets_153.csv: 3,610,316 tweets (August 18, 2020 10:10 AM - August 19, 2020 10:10 AM)

corona_tweets_154.csv: 3,534,349 tweets (August 19, 2020 10:10 AM - August 20, 2020 10:10 AM)

corona_tweets_155.csv: 3,609,804 tweets (August 20, 2020 10:10 AM - August 21, 2020 10:10 AM)

corona_tweets_156.csv: 3,962,927 tweets (August 21, 2020 10:10 AM - August 22, 2020 10:10 AM)

corona_tweets_157.csv: 3,583,818 tweets (August 22, 2020 10:10 AM - August 23, 2020 10:10 AM)

corona_tweets_158.csv: 4,045,201 tweets (August 23, 2020 10:10 AM - August 24, 2020 10:10 AM)

corona_tweets_159.csv: 3,982,835 tweets (August 24, 2020 10:10 AM - August 25, 2020 10:20 AM)

corona_tweets_160.csv: 3,896,212 tweets (August 25, 2020 10:20 AM - August 26, 2020 10:10 AM)

corona_tweets_161.csv: 3,965,851 tweets (August 26, 2020 10:10 AM - August 27, 2020 10:10 AM)

corona_tweets_162.csv: 3,913,091 tweets (August 27, 2020 10:10 AM - August 28, 2020 10:10 AM)

corona_tweets_163.csv: 3,850,248 tweets (August 28, 2020 10:10 AM - August 29, 2020 10:10 AM)

corona_tweets_164.csv: 3,282,065 tweets (August 29, 2020 10:10 AM - August 30, 2020 10:10 AM)

corona_tweets_165.csv: 3,494,658 tweets (August 30, 2020 10:11 AM - August 31, 2020 10:10 AM)

corona_tweets_166.csv: 3,725,303 tweets (August 31, 2020 10:10 AM - September 01, 2020 10:10 AM)

corona_tweets_167.csv: 3,665,464 tweets (September 01, 2020 10:10 AM - September 02, 2020 10:10 AM)

corona_tweets_168.csv: 3,742,416 tweets (September 02, 2020 10:10 AM - September 03, 2020 10:10 AM)

corona_tweets_169.csv: 3,833,791 tweets (September 03, 2020 10:10 AM - September 04, 2020 10:10 AM)

corona_tweets_170.csv: 3,189,110 tweets (September 04, 2020 10:10 AM - September 05, 2020 10:15 AM)

corona_tweets_171.csv: 2,736,116 tweets (September 05, 2020 10:15 AM - September 06, 2020 10:10 AM)

corona_tweets_172.csv: 2,742,674 tweets (September 06, 2020 10:10 AM - September 07, 2020 10:10 AM)

corona_tweets_173.csv: 3,428,867 tweets (September 07, 2020 10:10 AM - September 08, 2020 10:10 AM)

corona_tweets_174.csv: 3,596,199 tweets (September 08, 2020 10:10 AM - September 09, 2020 10:10 AM)

corona_tweets_175.csv: 3,983,190 tweets (September 09, 2020 10:11 AM - September 10, 2020 10:10 AM)

corona_tweets_176.csv: 4,032,447 tweets (September 10, 2020 10:10 AM - September 11, 2020 10:10 AM)

corona_tweets_177.csv: 3,499,620 tweets (September 11, 2020 10:10 AM - September 12, 2020 10:10 AM)

corona_tweets_178.csv: 3,165,691 tweets (September 12, 2020 10:10 AM - September 13, 2020 10:10 AM)

corona_tweets_179.csv: 3,172,727 tweets (September 13, 2020 10:10 AM - September 14, 2020 10:10 AM)

corona_tweets_180.csv: 3,590,356 tweets (September 14, 2020 10:10 AM - September 15, 2020 10:10 AM)

corona_tweets_181.csv: 3,638,935 tweets (September 15, 2020 10:10 AM - September 16, 2020 10:10 AM)

corona_tweets_182.csv: 3,839,131 tweets (September 16, 2020 10:10 AM - September 17, 2020 10:10 AM)

corona_tweets_183.csv: 3,661,202 tweets (September 17, 2020 10:10 AM - September 18, 2020 10:10 AM)

corona_tweets_184.csv: 3,328,710 tweets (September 18, 2020 10:10 AM - September 19, 2020 10:10 AM)

corona_tweets_185.csv: 2,373,557 tweets (September 19, 2020 10:10 AM - September 20, 2020 10:10 AM)

corona_tweets_186.csv: 2,717,488 tweets (September 20, 2020 10:10 AM - September 21, 2020 10:10 AM)

corona_tweets_187.csv: 3,647,346 tweets (September 21, 2020 10:10 AM - September 22, 2020 10:10 AM)

corona_tweets_188.csv: 3,773,214 tweets (September 22, 2020 10:10 AM - September 23, 2020 10:10 AM)

corona_tweets_189.csv: 3,675,631 tweets (September 23, 2020 10:10 AM - September 24, 2020 10:10 AM)

corona_tweets_190.csv: 3,469,386 tweets (September 24, 2020 10:10 AM - September 25, 2020 10:10 AM)

corona_tweets_191.csv: 2,943,510 tweets (September 25, 2020 10:10 AM - September 26, 2020 10:10 AM)

corona_tweets_192.csv: 2,750,782 tweets (September 26, 2020 10:10 AM - September 27, 2020 10:10 AM)

corona_tweets_193.csv: 2,349,966 tweets (September 27, 2020 10:10 AM - September 28, 2020 10:10 AM)

corona_tweets_194.csv: 2,828,438 tweets (September 28, 2020 10:10 AM - September 29, 2020 10:10 AM)

corona_tweets_195.csv: 3,154,852 tweets (September 29, 2020 10:10 AM - September 30, 2020 10:10 AM)

corona_tweets_196.csv: 2,652,574 tweets (September 30, 2020 10:10 AM - October 01, 2020 10:10 AM)

corona_tweets_197.csv: 3,149,122 tweets (October 01, 2020 10:10 AM - October 02, 2020 10:10 AM)

corona_tweets_198.csv: 4,312,864 tweets (October 02, 2020 10:10 AM - October 03, 2020 10:10 AM)

corona_tweets_199.csv: 4,263,630 tweets (October 03, 2020 10:10 AM - October 04, 2020 10:10 AM)

corona_tweets_200.csv: 4,029,468 tweets (October 04, 2020 10:10 AM - October 05, 2020 10:10 AM)

corona_tweets_201.csv: 4,120,708 tweets (October 05, 2020 10:10 AM - October 06, 2020 10:10 AM)

corona_tweets_202.csv: 4,250,382 tweets (October 06, 2020 10:10 AM - October 07, 2020 10:12 AM)

corona_tweets_203.csv: 4,004,487 tweets (October 07, 2020 10:12 AM - October 08, 2020 10:10 AM)

corona_tweets_204.csv: 3,963,002 tweets (October 08, 2020 10:10 AM - October 09, 2020 10:10 AM)

corona_tweets_205.csv: 3,876,621 tweets (October 09, 2020 10:10 AM - October 10, 2020 10:10 AM)

corona_tweets_206.csv: 3,725,364 tweets (October 10, 2020 10:10 AM - October 11, 2020 10:10 AM)

corona_tweets_207.csv: 3,555,115 tweets (October 11, 2020 10:10 AM - October 12, 2020 10:10 AM)

corona_tweets_208.csv: 3,836,485 tweets (October 12, 2020 10:10 AM - October 13, 2020 10:10 AM)

corona_tweets_209.csv: 3,773,010 tweets (October 13, 2020 10:10 AM - October 14, 2020 10:10 AM)

corona_tweets_210.csv: 3,530,338 tweets (October 14, 2020 10:10 AM - October 15, 2020 10:10 AM)

corona_tweets_211.csv: 3,288,065 tweets (October 15, 2020 10:10 AM - October 16, 2020 10:10 AM)

corona_tweets_212.csv: 3,111,052 tweets (October 16, 2020 10:10 AM - October 17, 2020 10:10 AM)

corona_tweets_213.csv: 2,936,275 tweets (October 17, 2020 10:10 AM - October 18, 2020 10:10 AM)

corona_tweets_214.csv: 3,114,902 tweets (October 18, 2020 10:10 AM - October 19, 2020 10:10 AM)

corona_tweets_215.csv: 3,495,131 tweets (October 19, 2020 10:10 AM - October 20, 2020 10:10 AM)

corona_tweets_216.csv: 3,474,414 tweets (October 20, 2020 10:10 AM - October 21, 2020 10:10 AM)

corona_tweets_217.csv: 3,211,180 tweets (October 21, 2020 10:10 AM - October 22, 2020 10:10 AM)

corona_tweets_218.csv: 3,342,926 tweets (October 22, 2020 10:10 AM - October 23, 2020 10:10 AM)

corona_tweets_219.csv: 3,269,122 tweets (October 23, 2020 10:10 AM - October 24, 2020 10:10 AM)

corona_tweets_220.csv: 3,193,236 tweets (October 24, 2020 10:10 AM - October 25, 2020 10:10 AM)

corona_tweets_221.csv: 3,382,538 tweets (October 25, 2020 10:10 AM - October 26, 2020 10:10 AM)

corona_tweets_222.csv: 3,339,344 tweets (October 26, 2020 10:10 AM - October 27, 2020 10:10 AM)

corona_tweets_223.csv: 2,553,632 tweets (October 27, 2020 10:10 AM - October 28, 2020 03:35 PM)

corona_tweets_224.csv: 2,865,014 tweets (October 28, 2020 03:35 PM - October 29, 2020 10:10 AM)

corona_tweets_225.csv: 3,256,945 tweets (October 29, 2020 10:10 AM - October 30, 2020 10:10 AM)

corona_tweets_226.csv: 3,428,783 tweets (October 30, 2020 10:10 AM - October 31, 2020 10:10 AM)

corona_tweets_227.csv: 3,500,835 tweets (October 31, 2020 10:10 AM - November 01, 2020 10:10 AM)

corona_tweets_228.csv: 3,371,046 tweets (November 01, 2020 10:10 AM - November 02, 2020 10:10 AM)

corona_tweets_229.csv: 3,299,450 tweets (November 02, 2020 10:10 AM - November 03, 2020 10:15 AM)

corona_tweets_230.csv: 2,601,575 tweets (November 03, 2020 10:15 AM - November 04, 2020 10:10 AM)

corona_tweets_231.csv: 2,415,739 tweets (November 04, 2020 10:10 AM - November 05, 2020 10:10 AM)

corona_tweets_232.csv: 2,781,918 tweets (November 05, 2020 10:10 AM - November 06, 2020 10:10 AM)

corona_tweets_233.csv: 2,514,116 tweets (November 06, 2020 10:10 AM - November 07, 2020 10:10 AM)

corona_tweets_234.csv: 2,998,457 tweets (November 07, 2020 10:10 AM - November 08, 2020 10:10 AM)

corona_tweets_235.csv: 2,339,099 tweets (November 08, 2020 10:10 AM - November 09, 2020 10:10 AM)

corona_tweets_236.csv: 3,524,228 tweets (November 09, 2020 10:10 AM - November 10, 2020 10:35 AM)

corona_tweets_237.csv: 3,296,368 tweets (November 10, 2020 10:35 AM - November 11, 2020 10:10 AM)

corona_tweets_238.csv: 3,156,729 tweets (November 11, 2020 10:10 AM - November 12, 2020 10:10 AM)

corona_tweets_239.csv: 3,664,120 tweets (November 12, 2020 10:10 AM - November 13, 2020 10:10 AM)

corona_tweets_240.csv: 3,850,005 tweets (November 13, 2020 10:10 AM - November 14, 2020 10:10 AM)

corona_tweets_241.csv: 3,341,609 tweets (November 14, 2020 10:10 AM - November 15, 2020 10:10 AM)

corona_tweets_242.csv: 3,424,942 tweets (November 15, 2020 10:10 AM - November 16, 2020 10:10 AM)

corona_tweets_243.csv: 3,629,902 tweets (November 16, 2020 10:10 AM - November 17, 2020 10:10 AM)

corona_tweets_244.csv: 3,566,213 tweets (November 17, 2020 10:10 AM - November 18, 2020 10:10 AM)

corona_tweets_245.csv: 3,649,808 tweets (November 18, 2020 10:10 AM - November 19, 2020 10:10 AM)

corona_tweets_246.csv: 3,593,689 tweets (November 19, 2020 10:10 AM - November 20, 2020 10:10 AM)

corona_tweets_247.csv: 3,467,627 tweets (November 20, 2020 10:10 AM - November 21, 2020 10:10 AM)

corona_tweets_248.csv: 3,302,059 tweets (November 21, 2020 10:10 AM - November 22, 2020 10:10 AM)

corona_tweets_249.csv: 3,072,344 tweets (November 22, 2020 10:10 AM - November 23, 2020 10:10 AM)

corona_tweets_250.csv: 3,405,513 tweets (November 23, 2020 10:10 AM - November 24, 2020 10:10 AM)

corona_tweets_251.csv: 3,172,136 tweets (November 24, 2020 10:10 AM - November 25, 2020 10:10 AM)

corona_tweets_252.csv: 3,084,475 tweets (November 25, 2020 10:10 AM - November 26, 2020 10:10 AM)

corona_tweets_253.csv: 2,853,608 tweets (November 26, 2020 10:10 AM - November 27, 2020 10:10 AM)

corona_tweets_254.csv: 2,463,578 tweets (November 27, 2020 10:10 AM - November 28, 2020 10:10 AM)

corona_tweets_255.csv: 2,437,566 tweets (November 28, 2020 10:10 AM - November 29, 2020 10:10 AM)

corona_tweets_256.csv: 2,570,601 tweets (November 29, 2020 10:10 AM - November 30, 2020 10:10 AM)

corona_tweets_257.csv: 3,144,302 tweets (November 30, 2020 10:10 AM - December 01, 2020 10:10 AM)

corona_tweets_258.csv: 2,892,121 tweets (December 01, 2020 10:10 AM - December 02, 2020 10:11 AM)

corona_tweets_259.csv: 3,255,342 tweets (December 02, 2020 10:11 AM - December 03, 2020 10:10 AM)

corona_tweets_260.csv: 3,398,579 tweets (December 03, 2020 10:10 AM - December 04, 2020 10:10 AM)

corona_tweets_261.csv: 3,107,132 tweets (December 04, 2020 10:10 AM - December 05, 2020 10:10 AM)

corona_tweets_262.csv: 2,732,602 tweets (December 05, 2020 10:10 AM - December 06, 2020 10:10 AM)

corona_tweets_263.csv: 2,052,198 tweets (December 06, 2020 10:10 AM - December 07, 2020 04:40 AM)

corona_tweets_264.csv: 4,408,239 tweets (December 07, 2020 04:40 AM - December 08, 2020 10:10 AM)

corona_tweets_265.csv: 3,653,032 tweets (December 08, 2020 10:10 AM - December 09, 2020 10:10 AM)

corona_tweets_266.csv: 3,404,086 tweets (December 09, 2020 10:10 AM - December 10, 2020 10:10 AM)

corona_tweets_267.csv: 2,875,149 tweets (December 10, 2020 10:10 AM - December 11, 2020 08:00 AM)

corona_tweets_268.csv: 3,190,245 tweets (December 11, 2020 08:00 AM - December 12, 2020 10:10 AM)

corona_tweets_269.csv: 2,590,126 tweets (December 12, 2020 10:10 AM - December 13, 2020 10:10 AM)

corona_tweets_270.csv: 2,874,190 tweets (December 13, 2020 10:10 AM - December 14, 2020 10:10 AM)

corona_tweets_271.csv: 3,278,255 tweets (December 14, 2020 10:10 AM - December 15, 2020 10:10 AM)

corona_tweets_272.csv: 3,292,085 tweets (December 15, 2020 10:10 AM - December 16, 2020 10:10 AM)

corona_tweets_273.csv: 3,513,604 tweets (December 16, 2020 10:10 AM - December 17, 2020 10:10 AM)

corona_tweets_274.csv: 3,705,804 tweets (December 17, 2020 10:10 AM - December 18, 2020 10:10 AM)

corona_tweets_275.csv: 3,727,941 tweets (December 18, 2020 10:10 AM - December 19, 2020 10:20 AM)

corona_tweets_276.csv: 3,172,974 tweets (December 19, 2020 10:20 AM - December 20, 2020 08:00 AM)

corona_tweets_277.csv: 4,071,775 tweets (December 20, 2020 08:00 AM - December 21, 2020 10:10 AM)

corona_tweets_278.csv: 3,974,884 tweets (December 21, 2020 10:10 AM - December 22, 2020 10:10 AM)

corona_tweets_279.csv: 3,936,226 tweets (December 22, 2020 10:10 AM - December 23, 2020 10:10 AM)

corona_tweets_280.csv: 3,541,732 tweets (December 23, 2020 10:10 AM - December 24, 2020 10:45 AM)

corona_tweets_281.csv: 2,622,020 tweets (December 24, 2020 10:45 AM - December 25, 2020 10:10 AM)

corona_tweets_282.csv: 1,767,511 tweets (December 25, 2020 10:10 AM - December 26, 2020 10:10 AM)

corona_tweets_283.csv: 2,466,204 tweets (December 26, 2020 10:10 AM - December 27, 2020 10:10 AM)

corona_tweets_284.csv: 2,769,961 tweets (December 27, 2020 10:10 AM - December 28, 2020 07:30 AM)

corona_tweets_285.csv: 3,902,378 tweets (December 28, 2020 07:30 AM - December 29, 2020 10:10 AM)

corona_tweets_286.csv: 3,683,098 tweets (December 29, 2020 10:10 AM - December 30, 2020 10:10 AM)

corona_tweets_287.csv: 3,977,023 tweets (December 30, 2020 10:10 AM - December 31, 2020 10:10 AM)

corona_tweets_288.csv: 3,528,057 tweets (December 31, 2020 10:10 AM - January 01, 2021 10:10 AM)

corona_tweets_289.csv: 3,038,662 tweets (January 01, 2021 10:10 AM - January 02, 2021 10:10 AM)

corona_tweets_290.csv: 3,250,694 tweets (January 02, 2021 10:10 AM - January 03, 2021 10:10 AM)

corona_tweets_291.csv: 3,501,229 tweets (January 03, 2021 10:10 AM - January 04, 2021 10:10 AM)

corona_tweets_292.csv: 3,727,421 tweets (January 04, 2021 10:10 AM - January 05, 2021 10:10 AM)

corona_tweets_293.csv: 3,917,006 tweets (January 05, 2021 10:10 AM - January 06, 2021 10:10 AM)

corona_tweets_294.csv: 3,522,571 tweets (January 06, 2021 10:10 AM - January 07, 2021 10:10 AM)

corona_tweets_295.csv: 2,801,003 tweets (January 07, 2021 10:10 AM - January 08, 2021 10:10 AM)

corona_tweets_296.csv: 2,975,849 tweets (January 08, 2021 10:10 AM - January 09, 2021 10:10 AM)

corona_tweets_297.csv: 1,620,906 tweets (January 09, 2021 10:10 AM - January 10, 2021 10:25 AM)

corona_tweets_298.csv: 2,542,852 tweets (January 10, 2021 10:25 AM - January 11, 2021 10:15 AM)

corona_tweets_299.csv: 3,156,856 tweets (January 11, 2021 10:15 AM - January 12, 2021 10:10 AM)

corona_tweets_300.csv: 3,512,165 tweets (January 12, 2021 10:10 AM - January 13, 2021 10:10 AM)

corona_tweets_301.csv: 2,855,503 tweets (January 13, 2021 10:10 AM - January 14, 2021 07:00 AM)

corona_tweets_302.csv: 3,613,526 tweets (January 14, 2021 07:00 AM - January 15, 2021 10:10 AM)

corona_tweets_303.csv: 3,408,359 tweets (January 15, 2021 10:10 AM - January 16, 2021 10:12 AM)

corona_tweets_304.csv: 3,348,871 tweets (January 16, 2021 10:12 AM - January 17, 2021 10:10 AM)

corona_tweets_305.csv: 2,764,179 tweets (January 17, 2021 10:10 AM - January 18, 2021 10:10 AM)

corona_tweets_306.csv: 3,099,138 tweets (January 18, 2021 10:10 AM - January 19, 2021 10:10 AM)

corona_tweets_307.csv: 3,209,091 tweets (January 19, 2021 10:10 AM - January 20, 2021 10:35 AM)

corona_tweets_308.csv: 2,565,068 tweets (January 20, 2021 10:35 AM - January 21, 2021 10:10 AM)

corona_tweets_309.csv: 3,284,309 tweets (January 21, 2021 10:10AM - January 22, 2021 10:10 AM)

corona_tweets_310.csv: 3,145,448 tweets (January 22, 2021 10:10 AM - January 23, 2021 10:10 AM)

corona_tweets_311.csv: 3,031,831 tweets (January 23, 2021 10:10 AM - January 24, 2021 10:10 AM)

corona_tweets_312.csv: 3,146,166 tweets (January 24, 2021 10:10 AM - January 25, 2021 10:15 AM)

corona_tweets_313.csv: 2,829,646 tweets (January 25, 2021 10:15 AM - January 26, 2021 08:10 AM)

corona_tweets_314.csv: 3,410,745 tweets (January 26, 2021 08:10 AM - January 27, 2021 10:15 AM)

corona_tweets_315.csv: 3,215,574 tweets (January 27, 2021 10:15 AM - January 28, 2021 10:10 AM)

corona_tweets_316.csv: 2,968,589 tweets (January 28, 2021 10:10 AM - January 29, 2021 10:10 AM)

corona_tweets_317.csv: 3,019,460 tweets (January 29, 2021 10:10 AM - January 30, 2021 10:10 AM)

corona_tweets_318.csv: 2,900,875 tweets (January 30, 2021 10:10 AM - January 31, 2021 10:10 AM)

corona_tweets_319.csv: 2,868,843 tweets (January 31, 2021 10:10 AM - February 01, 2021 10:10 AM)

corona_tweets_320.csv: 2,956,475 tweets (February 01, 2021 10:10 AM - February 02, 2021 10:10 AM)

corona_tweets_321.csv: 3,116,415 tweets (February 02, 2021 10:10 AM - February 03, 2021 10:30 AM)

corona_tweets_322.csv: 2,915,095 tweets (February 03, 2021 10:30 AM - February 04, 2021 10:10 AM)

corona_tweets_323.csv: 2,576,055 tweets (February 04, 2021 10:10 AM - February 05, 2021 10:10 AM)

corona_tweets_324.csv: 2,496,120 tweets (February 05, 2021 10:10 AM - February 06, 2021 09:30 AM)

corona_tweets_325.csv: 2,231,704 tweets (February 06, 2021 09:30 AM - February 07, 2021 10:10 AM)

corona_tweets_326.csv: 2,478,071 tweets (February 07, 2021 10:10 AM - February 08, 2021 10:10 AM)

corona_tweets_327.csv: 2,631,475 tweets (February 08, 2021 10:10 AM - February 09, 2021 10:10 AM)

corona_tweets_328.csv: 2,556,548 tweets (February 09, 2021 10:10 AM - February 10, 2021 10:10 AM)

corona_tweets_329.csv: 2,666,021 tweets (February 10, 2021 10:10 AM - February 11, 2021 12:00 PM)

corona_tweets_330.csv: 2,495,590 tweets (February 11, 2021 12:00 PM - February 12, 2021 10:10 AM)

corona_tweets_331.csv: 2,569,535 tweets (February 12, 2021 10:10 AM - February 13, 2021 10:10 AM)

corona_tweets_332.csv: 2,008,834 tweets (February 13, 2021 10:10 AM - February 14, 2021 10:10 AM)

corona_tweets_333.csv: 1,873,301 tweets (February 14, 2021 10:10 AM - February 15, 2021 10:10 AM)

corona_tweets_334.csv: 2,461,123 tweets (February 15, 2021 10:10 AM - February 16, 2021 11:00 AM)

corona_tweets_335.csv: 2,537,242 tweets (February 16, 2021 11:00 AM - February 17, 2021 10:10 AM)

corona_tweets_336.csv: 2,656,607 tweets (February 17, 2021 10:10 AM - February 18, 2021 10:10 AM)

corona_tweets_337.csv: 2,442,221 tweets (February 18, 2021 10:10 AM - February 19, 2021 11:00 AM)

corona_tweets_338.csv: 2,323,399 tweets (February 19, 2021 11:00 AM - February 20, 2021 10:10 AM)

corona_tweets_339.csv: 1,959,267 tweets (February 20, 2021 10:10 AM - February 21, 2021 10:10 AM)

corona_tweets_340.csv: 2,161,601 tweets (February 21, 2021 10:10 AM - February 22, 2021 10:10 AM)

corona_tweets_341.csv: 2,905,423 tweets (February 22, 2021 10:10 AM - February 23, 2021 10:10 AM)

corona_tweets_342.csv: 2,918,788 tweets (February 23, 2021 10:10 AM - February 24, 2021 10:10 AM)

corona_tweets_343.csv: 2,772,135 tweets (February 24, 2021 10:10 AM - February 25, 2021 10:10 AM)

corona_tweets_344.csv: 2,662,233 tweets (February 25, 2021 10:10 AM - February 26, 2021 10:10 AM)

corona_tweets_345.csv: 2,544,887 tweets (February 26, 2021 10:10 AM - February 27, 2021 10:30 AM)

corona_tweets_346.csv: 2,236,001 tweets (February 27, 2021 10:30 AM - February 28, 2021 10:10 AM)

corona_tweets_347.csv: 2,145,457 tweets (February 28, 2021 10:10 AM - March 01, 2021 10:10 AM)

corona_tweets_348.csv: 2,513,558 tweets (March 01, 2021 10:10 AM - March 02, 2021 10:15 AM)

corona_tweets_349.csv: 2,984,593 tweets (March 02, 2021 10:15 AM - March 03, 2021 10:10 AM)

corona_tweets_350.csv: 3,028,796 tweets (March 03, 2021 10:10 AM - March 04, 2021 10:10 AM)

corona_tweets_351.csv: 2,824,415 tweets (March 04, 2021 10:10 AM - March 05, 2021 10:10 AM)

corona_tweets_352.csv: 2,768,332 tweets (March 05, 2021 10:10 AM - March 06, 2021 10:10 AM)

corona_tweets_353.csv: 2,406,706 tweets (March 06, 2021 10:10 AM - March 07, 2021 10:10 AM)

corona_tweets_354.csv: 2,249,733 tweets (March 07, 2021 10:10 AM - March 08, 2021 10:55 AM)

corona_tweets_355.csv: 2,206,490 tweets (March 08, 2021 10:55 AM - March 09, 2021 10:10 AM)

corona_tweets_356.csv: 2,310,802 tweets (March 09, 2021 10:10 AM - March 10, 2021 10:10 AM)

corona_tweets_357.csv: 2,829,317 tweets (March 10, 2021 10:10 AM - March 11, 2021 10:10 AM)

corona_tweets_358.csv: 3,122,284 tweets (March 11, 2021 10:10 AM - March 12, 2021 10:10 AM)

corona_tweets_359.csv: 2,782,982 tweets (March 12, 2021 10:10 AM - March 13, 2021 10:10 AM)

corona_tweets_360.csv: 2,092,834 tweets (March 13, 2021 10:10 AM - March 14, 2021 10:10 AM)

corona_tweets_361.csv: 2,249,082 tweets (March 14, 2021 10:10 AM - March 15, 2021 10:15 AM)

corona_tweets_362.csv: 2,528,090 tweets (March 15, 2021 10:15 AM - March 16, 2021 10:10 AM)

corona_tweets_363.csv: 2,587,367 tweets (March 16, 2021 10:10 AM - March 17, 2021 10:10 AM)

corona_tweets_364.csv: 2,558,837 tweets (March 17, 2021 10:10 AM - March 18, 2021 10:00 AM)

corona_tweets_365.csv: 2,505,267 tweets (March 18, 2021 10:00 AM - March 19, 2021 10:10 AM)

corona_tweets_366.csv: 2,341,284 tweets (March 19, 2021 10:10 AM - March 20, 2021 10:10 AM)

corona_tweets_367.csv: 2,357,985 tweets (March 20, 2021 10:10 AM - March 21, 2021 10:10 AM)

corona_tweets_368.csv: 2,358,661 tweets (March 21, 2021 10:10 AM - March 22, 2021 10:25 AM)

corona_tweets_369.csv: 2,635,541 tweets (March 22, 2021 10:25 AM - March 23, 2021 10:10 AM)

corona_tweets_370.csv: 2,612,589 tweets (March 23, 2021 10:10 AM - March 24, 2021 10:20 AM)

corona_tweets_371.csv: 2,488,061 tweets (March 24, 2021 10:20 AM - March 25, 2021 10:10 AM)

corona_tweets_372.csv: 2,430,832 tweets (March 25, 2021 10:10 AM - March 26, 2021 10:10 AM)

corona_tweets_373.csv: 2,265,944 tweets (March 26, 2021 10:10 AM - March 27, 2021 10:10 AM)

corona_tweets_374.csv: 1,926,796 tweets (March 27, 2021 10:10 AM - March 28, 2021 10:10 AM)

corona_tweets_375.csv: 1,999,110 tweets (March 28, 2021 10:10 AM - March 29, 2021 10:15 AM)

corona_tweets_376.csv: 2,914,413 tweets (March 29, 2021 10:15 AM - March 30, 2021 10:10 AM)

corona_tweets_377.csv: 3,011,381 tweets (March 30, 2021 10:10 AM - March 31, 2021 10:10 AM)

corona_tweets_378.csv: 2,729,871 tweets (March 31, 2021 10:10 AM - April 01, 2021 11:10 AM)

corona_tweets_379.csv: 2,473,863 tweets (April 01, 2021 11:10 AM - April 02, 2021 10:40 AM)

corona_tweets_380.csv: 2,324,899 tweets (April 02, 2021 10:40 AM - April 03, 2021 10:10 AM)

corona_tweets_381.csv: 2,157,365 tweets (April 03, 2021 10:10 AM - April 04, 2021 10:30 AM)

corona_tweets_382.csv: 2,043,719 tweets (April 04, 2021 10:30 AM - April 05, 2021 10:10 AM)

corona_tweets_383.csv: 2,879,012 tweets (April 05, 2021 10:10 AM - April 06, 2021 10:10 AM)

corona_tweets_384.csv: 3,187,888 tweets (April 06, 2021 10:10 AM - April 07, 2021 10:40 AM)

corona_tweets_385.csv: 3,044,808 tweets (April 07, 2021 10:40 AM - April 08, 2021 10:10 AM)

corona_tweets_386.csv: 2,993,795 tweets (April 08, 2021 10:10 AM - April 09, 2021 10:10 AM)

corona_tweets_387.csv: 2,517,334 tweets (April 09, 2021 10:10 AM - April 10, 2021 10:10 AM)

corona_tweets_388.csv: 2,241,700 tweets (April 10, 2021 10:10 AM - April 11, 2021 10:10 AM)

corona_tweets_389.csv: 2,409,810 tweets (April 11, 2021 10:10 AM - April 12, 2021 10:10 AM)

corona_tweets_390.csv: 2,812,947 tweets (April 12, 2021 10:10 AM - April 13, 2021 10:10 AM)

corona_tweets_391.csv: 3,850,249 tweets (April 13, 2021 10:10 AM - April 14, 2021 05:15 PM)

corona_tweets_392.csv: 2,163,860 tweets (April 14, 2021 05:15 PM - April 15, 2021 10:10 AM)

corona_tweets_393.csv: 2,469,813 tweets (April 15, 2021 10:10 AM - April 16, 2021 10:15 AM)

corona_tweets_394.csv: 2,846,397 tweets (April 16, 2021 10:15 AM - April 17, 2021 09:51 AM)

corona_tweets_395.csv: 2,108,708 tweets (April 17, 2021 09:51 AM - April 18, 2021 10:10 AM)

corona_tweets_396.csv: 3,130,544 tweets (April 18, 2021 10:10 AM - April 19, 2021 10:10 AM)

corona_tweets_397.csv: 3,244,223 tweets (April 19, 2021 10:10 AM - April 20, 2021 10:00 AM)

corona_tweets_398.csv: 3,146,119 tweets (April 20, 2021 10:00 AM - April 21, 2021 10:10 AM)

corona_tweets_399.csv: 3,062,845 tweets (April 21, 2021 10:10 AM - April 22, 2021 10:10 AM)

corona_tweets_400.csv: 3,302,982 tweets (April 22, 2021 10:10 AM - April 23, 2021 10:10 AM)

corona_tweets_401.csv: 3,374,543 tweets (April 23, 2021 10:10 AM - April 24, 2021 10:10 AM)

corona_tweets_402.csv: 3,565,350 tweets (April 24, 2021 10:10 AM - April 25, 2021 10:10 AM)

corona_tweets_403.csv: 3,628,888 tweets (April 25, 2021 10:10 AM - April 26, 2021 10:10 AM)

corona_tweets_404.csv: 3,780,245 tweets (April 26, 2021 10:10 AM - April 27, 2021 10:49 AM)

corona_tweets_405.csv: 3,643,677 tweets (April 27, 2021 10:49 AM - April 28, 2021 10:15 AM)

corona_tweets_406.csv: 3,590,871 tweets (April 28, 2021 10:15 AM - April 29, 2021 10:10 AM)

corona_tweets_407.csv: 4,774,322 tweets (April 29, 2021 10:10 AM - April 30, 2021 08:10 PM)

corona_tweets_408.csv: 2,391,453 tweets (April 30, 2021 08:10 PM - May 01, 2021 01:50 PM)

corona_tweets_409.csv: 2,641,628 tweets (May 01, 2021 01:50 PM - May 02, 2021 10:10 AM)

corona_tweets_410.csv: 2,677,861 tweets (May 02, 2021 10:10 AM - May 03, 2021 10:10 AM)

corona_tweets_411.csv: 3,186,034 tweets (May 03, 2021 10:10 AM - May 04, 2021 10:10 AM)

corona_tweets_412.csv: 3,308,235 tweets (May 04, 2021 10:10 AM - May 05, 2021 10:10 AM)

corona_tweets_413.csv: 3,256,865 tweets (May 05, 2021 10:10 AM - May 06, 2021 10:10 AM)

corona_tweets_414.csv: 3,149,400 tweets (May 06, 2021 10:10 AM - May 07, 2021 10:10 AM)

corona_tweets_415.csv: 2,910,460 tweets (May 07, 2021 10:10 AM - May 08, 2021 10:10 AM)

corona_tweets_416.csv: 2,615,164 tweets (May 08, 2021 10:10 AM - May 09, 2021 10:10 AM)

corona_tweets_417.csv: 2,317,867 tweets (May 09, 2021 10:10 AM - May 10, 2021 10:10 AM)

corona_tweets_418.csv: 3,272,827 tweets (May 10, 2021 10:10 AM - May 11, 2021 10:10 AM)

corona_tweets_419.csv: 3,030,226 tweets (May 11, 2021 10:10 AM - May 12, 2021 10:10 AM)

corona_tweets_420.csv: 2,963,495 tweets (May 12, 2021 10:10 AM - May 13, 2021 10:10 AM)

corona_tweets_421.csv: 3,454,177 tweets (May 13, 2021 10:10 AM - May 14, 2021 10:10 AM)

corona_tweets_422.csv: 3,062,776 tweets (May 14, 2021 10:10 AM - May 15, 2021 10:10 AM)

corona_tweets_423.csv: 2,672,511 tweets (May 15, 2021 10:10 AM - May 16, 2021 10:10 AM)

corona_tweets_424.csv: 2,456,088 tweets (May 16, 2021 10:10 AM - May 17, 2021 10:30 AM)

corona_tweets_425.csv: 2,940,827 tweets (May 17, 2021 10:30 AM - May 18, 2021 10:10 AM)

corona_tweets_426.csv: 2,990,851 tweets (May 18, 2021 10:10 AM - May 19, 2021 10:10 AM)

corona_tweets_427.csv: 2,682,664 tweets (May 19, 2021 10:10 AM - May 20, 2021 10:10 AM)

corona_tweets_428.csv: 2,676,393 tweets (May 20, 2021 10:10 AM - May 21, 2021 10:10 AM)

corona_tweets_429.csv: 2,264,112 tweets (May 21, 2021 10:10 AM - May 22, 2021 10:10 AM)

corona_tweets_430.csv: 2,273,897 tweets (May 22, 2021 10:10 AM - May 23, 2021 10:10 AM)

corona_tweets_431.csv: 2,511,727 tweets (May 23, 2021 10:10 AM - May 24, 2021 10:10 AM)

corona_tweets_432.csv: 2,746,423 tweets (May 24, 2021 10:10 AM - May 25, 2021 10:25 AM)

corona_tweets_433.csv: 2,600,636 tweets (May 25, 2021 10:25 AM - May 26, 2021 10:30 AM)

corona_tweets_434.csv: 2,914,018 tweets (May 26, 2021 10:30 AM - May 27, 2021 10:10 AM)

corona_tweets_435.csv: 2,767,546 tweets (May 27, 2021 10:10 AM - May 28, 2021 10:10 AM)

corona_tweets_436.csv: 2,591,490 tweets (May 28, 2021 10:10 AM - May 29, 2021 10:10 AM)

corona_tweets_437.csv: 2,430,091 tweets (May 29, 2021 10:10 AM - May 30, 2021 10:10 AM)

corona_tweets_438.csv: 2,216,272 tweets (May 30, 2021 10:10 AM - May 31, 2021 10:10 AM)

corona_tweets_439.csv: 2,148,894 tweets (May 31, 2021 10:10 AM - June 01, 2021 10:10 AM)

corona_tweets_440.csv: 2,263,802 tweets (June 01, 2021 10:10 AM - June 02, 2021 10:10 AM)

corona_tweets_441.csv: 2,466,702 tweets (June 02, 2021 10:10 AM - June 03, 2021 10:10 AM)

corona_tweets_442.csv: 2,228,357 tweets (June 03, 2021 10:10 AM - June 04, 2021 10:10 AM)

corona_tweets_443.csv: 2,230,290 tweets (June 04, 2021 10:10 AM - June 05, 2021 10:10 AM)

corona_tweets_444.csv: 1,696,341 tweets (June 05, 2021 10:10 AM - June 06, 2021 10:10 AM)

corona_tweets_445.csv: 1,730,992 tweets (June 06, 2021 10:10 AM - June 07, 2021 10:13 AM)

corona_tweets_446.csv: 2,216,828 tweets (June 07, 2021 10:30 AM - June 08, 2021 10:15 AM)

corona_tweets_447.csv: 1,964,917 tweets (June 08, 2021 10:15 AM - June 09, 2021 10:10 AM)

corona_tweets_448.csv: 2,115,721 tweets (June 09, 2021 10:10 AM - June 10, 2021 10:10 AM)

corona_tweets_449.csv: 2,195,729 tweets (June 10, 2021 10:10 AM - June 11, 2021 10:10 AM)

corona_tweets_450.csv: 1,974,182 tweets (June 11, 2021 10:10 AM - June 12, 2021 10:10 AM)

corona_tweets_451.csv: 1,644,625 tweets (June 12, 2021 10:10 AM - June 13, 2021 10:15 AM)

corona_tweets_452.csv: 1,825,748 tweets (June 13, 2021 10:15 AM - June 14, 2021 10:10 AM)

corona_tweets_453.csv: 1,993,867 tweets (June 14, 2021 10:10 AM - June 15, 2021 10:00 AM)

corona_tweets_454.csv: 1,998,621 tweets (June 15, 2021 10:00 AM - June 16, 2021 10:10 AM)

corona_tweets_455.csv: 1,911,098 tweets (June 16, 2021 10:10 AM - June 17, 2021 10:10 AM)

corona_tweets_456.csv: 1,720,542 tweets (June 17, 2021 10:10 AM - June 18, 2021 10:10 AM)

corona_tweets_457.csv: 1,776,114 tweets (June 18, 2021 10:10 AM - June 19, 2021 10:10 AM)

corona_tweets_458.csv: 1,535,961 tweets (June 19, 2021 10:10 AM - June 20, 2021 10:10 AM)

corona_tweets_459.csv: 1,494,594 tweets (June 20, 2021 10:10 AM - June 21, 2021 10:10 AM)

corona_tweets_460.csv: 2,082,099 tweets (June 21, 2021 10:10 AM - June 22, 2021 10:10 AM)

corona_tweets_461.csv: 2,020,537 tweets (June 22, 2021 10:10 AM - June 23, 2021 10:10 AM)

corona_tweets_462.csv: 1,899,583 tweets (June 23, 2021 10:10 AM - June 24, 2021 10:10 AM)

corona_tweets_463.csv: 1,826,716 tweets (June 24, 2021 10:10 AM - June 25, 2021 11:00 AM)

corona_tweets_464.csv: 1,911,966 tweets (June 25, 2021 11:00 AM - June 26, 2021 11:05 AM)

corona_tweets_465.csv: 1,736,779 tweets (June 26, 2021 11:05 AM - June 27, 2021 10:10 AM)

corona_tweets_466.csv: 1,790,828 tweets (June 27, 2021 10:10 AM - June 28, 2021 10:10 AM)

corona_tweets_467.csv: 2,087,599 tweets (June 28, 2021 10:10 AM - June 29, 2021 10:10 AM)

corona_tweets_468.csv: 1,979,692 tweets (June 29, 2021 10:10 AM - June 30, 2021 10:15 AM)

corona_tweets_469.csv: 1,877,918 tweets (June 30, 2021 10:15 AM - July 01, 2021 10:10 AM)

corona_tweets_470.csv: 1,743,817 tweets (July 01, 2021 10:10 AM - July 02, 2021 10:10 AM)

corona_tweets_471.csv: 1,635,985 tweets (July 02, 2021 10:10 AM - July 03, 2021 10:10 AM)

corona_tweets_472.csv: 1,394,830 tweets (July 03, 2021 10:10 AM - July 04, 2021 10:00 AM)

corona_tweets_473.csv: 1,533,309 tweets (July 04, 2021 10:00 AM - July 05, 2021 10:10 AM)

corona_tweets_474.csv: 2,092,808 tweets (July 05, 2021 10:10 AM - July 06, 2021 10:10 AM)

corona_tweets_475.csv: 2,286,009 tweets (July 06, 2021 10:10 AM - July 07, 2021 10:15 AM)

corona_tweets_476.csv: 2,212,384 tweets (July 07, 2021 10:15 AM - July 08, 2021 10:10 AM)

corona_tweets_477.csv: 2,276,751 tweets (July 08, 2021 10:10 AM - July 09, 2021 10:10 AM)

corona_tweets_478.csv: 2,248,948 tweets (July 09, 2021 10:10 AM - July 10, 2021 10:40 AM)

corona_tweets_479.csv: 2,287,425 tweets (July 10, 2021 10:40 AM - July 11, 2021 10:10 AM)

corona_tweets_480.csv: 2,564,105 tweets (July 11, 2021 10:10 AM - July 12, 2021 10:10 AM)

corona_tweets_481.csv: 2,491,841 tweets (July 12, 2021 10:10 AM - July 13, 2021 10:15 AM)

corona_tweets_482.csv: 2,562,066 tweets (July 13, 2021 10:15 AM - July 14, 2021 10:10 AM)

corona_tweets_483.csv: 2,488,859 tweets (July 14, 2021 10:10 AM - July 15, 2021 10:10 AM)

corona_tweets_484.csv: 2,544,660 tweets (July 15, 2021 10:10 AM - July 16, 2021 10:10 AM)

corona_tweets_485.csv: 2,836,827 tweets (July 16, 2021 10:10 AM - July 17, 2021 10:15 AM)

corona_tweets_486.csv: 3,015,929 tweets (July 17, 2021 10:15 AM - July 18, 2021 10:10 AM)

corona_tweets_487.csv: 2,834,000 tweets (July 18, 2021 10:10 AM - July 19, 2021 10:10 AM)

corona_tweets_488.csv: 3,252,210 tweets (July 19, 2021 10:10 AM - July 20, 2021 10:10 AM)

corona_tweets_489.csv: 3,209,181 tweets (July 20, 2021 10:10 AM - July 21, 2021 10:10 AM)

corona_tweets_490.csv: 3,172,117 tweets (July 21, 2021 10:10 AM - July 22, 2021 10:10 AM)

corona_tweets_491.csv: 3,142,297 tweets (July 22, 2021 10:10 AM - July 23, 2021 10:10 AM)

corona_tweets_492.csv: 3,006,046 tweets (July 23, 2021 10:10 AM - July 24, 2021 10:10 AM)

corona_tweets_493.csv: 2,767,396 tweets (July 24, 2021 10:10 AM - July 25, 2021 10:10 AM)

corona_tweets_494.csv: 2,516,341 tweets (July 25, 2021 10:10 AM - July 26, 2021 10:10 AM)

corona_tweets_495.csv: 2,764,919 tweets (July 26, 2021 10:10 AM - July 27, 2021 10:10 AM)

corona_tweets_496.csv: 2,943,875 tweets (July 27, 2021 10:10 AM - July 28, 2021 10:10 AM)

corona_tweets_497.csv: 3,223,114 tweets (July 28, 2021 10:10 AM - July 29, 2021 10:10 AM)

corona_tweets_498.csv: 3,363,142 tweets (July 29, 2021 10:10 AM - July 30, 2021 10:10 AM)

corona_tweets_499.csv: 3,394,472 tweets (July 30, 2021 10:10 AM - July 31, 2021 10:10 AM)

corona_tweets_500.csv: 2,966,261 tweets (July 31, 2021 10:10 AM - August 01, 2021 10:10 AM)

corona_tweets_501.csv: 2,798,436 tweets (August 01, 2021 10:10 AM - August 02, 2021 10:10 AM)

corona_tweets_502.csv: 3,151,448 tweets (August 02, 2021 10:10 AM - August 03, 2021 10:10 AM)

corona_tweets_503.csv: 3,167,497 tweets (August 03, 2021 10:10 AM - August 04, 2021 10:10 AM)

corona_tweets_504.csv: 3,449,161 tweets (August 04, 2021 10:10 AM - August 05, 2021 10:10 AM)

corona_tweets_505.csv: 3,525,523 tweets (August 05, 2021 10:10 AM - August 06, 2021 10:10 AM)

corona_tweets_506.csv: 3,171,987 tweets (August 06, 2021 10:10 AM - August 07, 2021 10:10 AM)

corona_tweets_507.csv: 2,919,025 tweets (August 07, 2021 10:10 AM - August 08, 2021 10:10 AM)

corona_tweets_508.csv: 2,876,574 tweets (August 08, 2021 10:10 AM - August 09, 2021 10:10 AM)

corona_tweets_509.csv: 3,338,338 tweets (August 09, 2021 10:10 AM - August 10, 2021 10:10 AM)

corona_tweets_510.csv: 3,279,238 tweets (August 10, 2021 10:10 AM - August 11, 2021 10:10 AM)

corona_tweets_511.csv: 3,342,272 tweets (August 11, 2021 10:10 AM - August 12, 2021 10:20 AM)

corona_tweets_512.csv: 3,385,156 tweets (August 12, 2021 10:20 AM - August 13, 2021 10:10 AM)

corona_tweets_513.csv: 3,053,259 tweets (August 13, 2021 10:10 AM - August 14, 2021 10:10 AM)

corona_tweets_514.csv: 2,544,446 tweets (August 14, 2021 10:10 AM - August 15, 2021 10:10 AM)

corona_tweets_515.csv: 2,100,263 tweets (August 15, 2021 10:10 AM - August 16, 2021 10:10 AM)

corona_tweets_516.csv: 2,184,974 tweets (August 16, 2021 10:10 AM - August 17, 2021 10:10 AM)

corona_tweets_517.csv: 2,816,241 tweets (August 17, 2021 10:10 AM - August 18, 2021 10:10 AM)

corona_tweets_518.csv: 2,953,666 tweets (August 18, 2021 10:10 AM - August 19, 2021 10:10 AM)

corona_tweets_519.csv: 2,957,709 tweets (August 19, 2021 10:10 AM - August 20, 2021 10:10 AM)

corona_tweets_520.csv: 2,922,324 tweets (August 20, 2021 10:10 AM - August 21, 2021 10:10 AM)

corona_tweets_521.csv: 3,337,045 tweets (August 21, 2021 10:10 AM - August 22, 2021 06:30 PM)

corona_tweets_522.csv: 1,958,737 tweets (August 22, 2021 06:30 PM - August 23, 2021 10:10 AM)

corona_tweets_523.csv: 3,258,977 tweets (August 23, 2021 10:10 AM - August 24, 2021 10:10 AM)

corona_tweets_524.csv: 3,096,587 tweets (August 24, 2021 10:10 AM - August 25, 2021 10:45 AM)

corona_tweets_525.csv: 3,008,014 tweets (August 25, 2021 10:45 AM - August 26, 2021 10:10 AM)

corona_tweets_526.csv: 2,724,974 tweets (August 26, 2021 10:10 AM - August 27, 2021 10:20 AM)

corona_tweets_527.csv: 2,817,496 tweets (August 27, 2021 10:20 AM - August 28, 2021 10:10 AM)

corona_tweets_528.csv: 2,493,586 tweets (August 28, 2021 10:10 AM - August 29, 2021 10:10 AM)

corona_tweets_529.csv: 2,335,182 tweets (August 29, 2021 10:10 AM - August 30, 2021 10:10 AM)

corona_tweets_530.csv: 2,656,139 tweets (August 30, 2021 10:10 AM - August 31, 2021 10:10 AM)

corona_tweets_531.csv: 2,444,480 tweets (August 31, 2021 10:10 AM - September 01, 2021 10:10 AM)

corona_tweets_532.csv: 2,763,624 tweets (September 01, 2021 10:10 AM - September 02, 2021 10:10 AM)

corona_tweets_533.csv: 2,938,858 tweets (September 02, 2021 10:10 AM - September 03, 2021 10:10 AM)

corona_tweets_534.csv: 2,405,033 tweets (September 03, 2021 10:10 AM - September 04, 2021 10:10 AM)

corona_tweets_535.csv: 2,234,971 tweets (September 04, 2021 10:10 AM - September 05, 2021 10:10 AM)

corona_tweets_536.csv: 2,240,358 tweets (September 05, 2021 10:10 AM - September 06, 2021 10:10 AM)

corona_tweets_537.csv: 2,147,731 tweets (September 06, 2021 10:10 AM - September 07, 2021 10:10 AM)

corona_tweets_538.csv: 2,618,317 tweets (September 07, 2021 10:10 AM - September 08, 2021 10:10 AM)

corona_tweets_539.csv: 2,420,003 tweets (September 08, 2021 10:10 AM - September 09, 2021 10:10 AM)

corona_tweets_540.csv: 3,199,346 tweets (September 09, 2021 10:10 AM - September 10, 2021 10:10 AM)

corona_tweets_541.csv: 3,674,509 tweets (September 10, 2021 10:10 AM - September 11, 2021 10:10 AM)

corona_tweets_542.csv: 2,437,246 tweets (September 11, 2021 10:10 AM - September 12, 2021 10:10 AM)

corona_tweets_543.csv: 2,273,389 tweets (September 12, 2021 10:10 AM - September 13, 2021 10:10 AM)

corona_tweets_544.csv: 3,116,987 tweets (September 13, 2021 10:10 AM - September 14, 2021 10:10 AM)

corona_tweets_545.csv: 2,904,091 tweets (September 14, 2021 10:10 AM - September 15, 2021 10:10 AM)

corona_tweets_546.csv: 2,627,401 tweets (September 15, 2021 10:10 AM - September 16, 2021 10:10 AM)

corona_tweets_547.csv: 2,717,695 tweets (September 16, 2021 10:10 AM - September 17, 2021 10:10 AM)

corona_tweets_548.csv: 2,706,436 tweets (September 17, 2021 10:10 AM - September 18, 2021 10:10 AM)

corona_tweets_549.csv: 2,241,235 tweets (September 18, 2021 10:11 AM - September 19, 2021 10:10 AM)

corona_tweets_550.csv: 2,290,977 tweets (September 19, 2021 10:10 AM - September 20, 2021 10:10 AM)

corona_tweets_551.csv: 2,790,068 tweets (September 20, 2021 10:10 AM - September 21, 2021 10:10 AM)

corona_tweets_552.csv: 2,241,524 tweets (September 21, 2021 10:10 AM - September 22, 2021 10:10 AM)

corona_tweets_553.csv: 2,323,202 tweets (September 22, 2021 10:10 AM - September 23, 2021 10:10 AM)

corona_tweets_554.csv: 2,241,688 tweets (September 23, 2021 10:10 AM - September 24, 2021 11:10 AM)

corona_tweets_555.csv: 2,059,018 tweets (September 24, 2021 11:11 AM - September 25, 2021 10:10 AM)

corona_tweets_556.csv: 1,647,906 tweets (September 25, 2021 10:10 AM - September 26, 2021 10:10 AM)

corona_tweets_557.csv: 1,604,295 tweets (September 26, 2021 10:10 AM - September 27, 2021 10:10 AM)

corona_tweets_558.csv: 2,365,010 tweets (September 27, 2021 10:10 AM - September 28, 2021 10:10 AM)

corona_tweets_559.csv: 2,381,940 tweets (September 28, 2021 10:10 AM - September 29, 2021 10:25 AM)

corona_tweets_560.csv: 2,343,125 tweets (September 29, 2021 10:25 AM - September 30, 2021 10:25 AM)

corona_tweets_561.csv: 2,038,891 tweets (September 30, 2021 10:25 AM  - October 01, 2021 10:10 AM)

corona_tweets_562.csv: 1,908,122 tweets (October 01, 2021 10:10 AM - October 02, 2021 07:05 AM)

corona_tweets_563.csv: 2,108,962 tweets (October 02, 2021 07:05 AM - October 03, 2021 10:10 AM)

corona_tweets_564.csv: 1,739,268 tweets (October 03, 2021 10:10 AM - October 04, 2021 10:10 AM)

corona_tweets_565.csv: 1,909,160 tweets (October 04, 2021 10:10 AM - October 05, 2021 10:10 AM)

corona_tweets_566.csv: 2,148,267 tweets (October 05, 2021 10:10 AM - October 06, 2021 10:20 AM)

corona_tweets_567.csv: 2,075,883 tweets (October 06, 2021 10:20 AM - October 07, 2021 10:10 AM)

corona_tweets_568.csv: 2,338,335 tweets (October 07, 2021 10:10 AM - October 08, 2021 04:00 PM)

corona_tweets_569.csv: 1,411,691 tweets (October 08, 2021 04:00 PM - October 09, 2021 10:10 AM)

corona_tweets_570.csv: 1,410,813 tweets (October 09, 2021 10:10 AM - October 10, 2021 08:00 AM)

corona_tweets_571.csv: 2,031,769 tweets (October 10, 2021 08:00 AM - October 11, 2021 03:05 PM)

corona_tweets_572.csv: 1,436,411 tweets (October 11, 2021 03:05 PM - October 12, 2021 07:40 AM)

corona_tweets_573.csv: 2,647,110 tweets (October 12, 2021 07:40 AM - October 13, 2021 10:10 AM)

corona_tweets_574.csv: 2,035,278 tweets (October 13, 2021 10:10 AM - October 14, 2021 10:10 AM)

corona_tweets_575.csv: 1,947,759 tweets (October 14, 2021 10:10 AM - October 15, 2021 09:00 AM)

corona_tweets_576.csv: 1,871,896 tweets (October 15, 2021 09:00 AM - October 16, 2021 10:15 AM)

corona_tweets_577.csv: 1,508,992 tweets (October 16, 2021 10:15 AM - October 17, 2021 10:10 AM)

corona_tweets_578.csv: 1,462,011 tweets (October 17, 2021 10:10 AM - October 18, 2021 10:45 AM)

corona_tweets_579.csv: 2,283,943 tweets (October 18, 2021 10:45 AM - October 19, 2021 10:10 AM)

corona_tweets_580.csv: 2,072,206 tweets (October 19, 2021 10:10 AM - October 20, 2021 10:10 AM)

corona_tweets_581.csv: 2,125,391 tweets (October 20, 2021 10:10 AM - October 21, 2021 10:10 AM)

corona_tweets_582.csv: 2,115,625 tweets (October 21, 2021 10:10 AM - October 22, 2021 10:10 AM)

Instructions: 

Each CSV file contains a list of tweet IDs. You can use these tweet IDs to download fresh data from Twitter (read this article: hydrating tweet IDs). To make it easy for the NLP researchers to get access to the sentiment analysis of each collected tweet, the sentiment score computed by TextBlob has been appended as the second column. To hydrate the tweet IDs, you can use applications such as Hydrator (available for OS X, Windows and Linux) or twarc (python library).

Getting the CSV files of this dataset ready for hydrating the tweet IDs:

import pandas as pd

dataframe=pd.read_csv("corona_tweets_10.csv", header=None)

dataframe=dataframe[0]

dataframe.to_csv("ready_corona_tweets_10.csv", index=False, header=None)

The above example code takes in the original CSV file (i.e., corona_tweets_10.csv) from this dataset and exports just the tweet ID column to a new CSV file (i.e., ready_corona_tweets_10.csv). The newly created CSV file can now be consumed by the Hydrator application for hydrating the tweet IDs. To export the tweet ID column into a TXT file, just replace ".csv" with ".txt" in the to_csv function (last line) of the above example code.

If you are not comfortable with Python and pandas, you can upload these CSV files to your Google Drive and use Google Sheets to delete the second column. Once finished with the deletion, download the edited CSV files: File > Download > Comma-separated values (.csv, current sheet). These downloaded CSV files are now ready to be used with the Hydrator app for hydrating the tweet IDs.

Playing around with 'tweet ID' and 'date & time'

In this dataset, tweet IDs are listed in different CSV files based on their creation dates. However, if you are interested in hydrating the IDs that fall between a specific time interval, you can convert a tweet ID to date & time (tweet ID > time epoch > human-readable date & time). Yes, you read it correctly; Twitter has a timestamp placed in tweet ID. You can also convert a time epoch to tweet ID. This way, you can easily select a list of tweet IDs from this dataset that fall under your preferred time frame.

Converting tweet ID to date & time

import time

tweet_id = ...

shifted_id = tweet_id >> 22 #applying right shift operator to the tweet ID

timestamp = shifted_id + 1288834974657 

data_time = time.ctime(timestamp/1000)

Converting date & time to tweet ID

milisecond epoch = ... #convert the preferred date & time to ms epoch

epoch = milisecond epoch - 1288834974657

tweet_id = epoch << 22 #applying left shift operator

Comments

[updated on September 13, 2020] The tweet text should be preprocessed before computing sentiment scores for better analysis. In this case, the raw text obtained from the API was (after removal of "#", "@" and URLs) passed to the TextBlob's sentiment module. The streaming API sends around 30-40 tweets per second, therefore, advance level preprocessing such as "spelling correction" and "dealing with Twitter abbreviations", all in real-time, would have been a bottleneck.

Submitted by Rabindra Lamsal on Sun, 09/13/2020 - 01:29

hi i need the topic of these datasets ,How i get it ?

Submitted by Abdullah Matin on Tue, 06/16/2020 - 03:06

Can you please clarify what you want to mean by "the topic of these datasets"?

Submitted by Rabindra Lamsal on Tue, 06/16/2020 - 04:30

Hello i have question,if these tweets IDs include the tweets reply IDS as well ? or these tweets IDS are only the main tweets?

Thanks in advance.

Submitted by Anil Kumar on Thu, 06/18/2020 - 09:14

Yes, the dataset does include the reply tweets as well. Anything that gets an ID for itself on Twitter is returned by the API that matches the criteria one is applying.

Submitted by Rabindra Lamsal on Thu, 06/18/2020 - 14:16

Hi,

When I use the Hydrator, I noticed a lot of the tweets were getting deleted, nearly 25%. Any idea why this could be happening?

Submitted by Arjun Acharya on Fri, 06/19/2020 - 19:42

Hello Arjun.

Anything (main tweets, retweets, retweets with comment, replies) that gets a unique identifier on Twitter can be pulled. Maybe that particular period saw a lot of users deleting the tweet(s) or making their profile private. However, deletion of tweets at 25% is definitely significant. Last week I was filtering out geo-tagged tweets from the normal ones, and noticed that around 15-17% of the tweets were not available. This is usual, and is the primary reason why Twitter wants the researchers to always pull fresh data.

Submitted by Rabindra Lamsal on Wed, 09/30/2020 - 00:48

Hello,

i want to get the tweets of specific country.

Is it possible to get tweets by country with this dataset? or i have to use geo-tagged dataset to get the tweets by country?

Best regards

Submitted by Anil Kumar on Mon, 06/29/2020 - 12:38

Please refer to my comment below this thread. While I was replying to your comment, I did not notice that I was starting a new thread.

Submitted by Rabindra Lamsal on Tue, 06/30/2020 - 00:33

Hello Anil.

Yes, it is possible to get country-specific tweets with this dataset. The geo-tagged dataset contains tweets that had "point" location-enabled. To get the country-specific tweets from this dataset you'll have to consider using condition within "country_code" or "country" Twitter object. This way you'll only be storing the tweets information originating from the country of your interest.

Such as: "country_code": "US" / "country": "United States"

Submitted by Rabindra Lamsal on Tue, 06/30/2020 - 00:22

Hello,

I have tried with as well but i am only able to get tweets by country of few countries. majority tweets are not giving place information.

Best Regards

Anil Kumar

Submitted by Anil Kumar on Tue, 06/30/2020 - 12:06

Hello,

I have tried with as well but i am only able to get tweets by country of few countries. majority tweets are not giving place information.

Best Regards

Anil Kumar

Submitted by Anil Kumar on Tue, 06/30/2020 - 12:06

Hello,

I have tried with as well but i am only able to get tweets by country of few countries. majority tweets are not giving place information.

Best Regards

Anil Kumar

Submitted by Anil Kumar on Tue, 06/30/2020 - 12:06

[updated on Aug 7, 2020] Dealing with location information on Twitter data can itself be a research topic. However, if I'm looking for a headstart, I would try something like this. I would play around the location-specific Twitter Objects at three different levels. First, I would check if the tweet is geo-tagged (if it contains an exact location). Secondly, if the tweet is not geo-tagged, chances are that it might have a region or a country boundary box defined. Third, if none of the criteria satisfy, I would simply try to extract location information from the user's profile.

Here's an example of using twarc as a python library for this purpose.

from twarc import Twarc

consumer_key=""

consumer_secret=""

access_token=""

access_token_secret=""

t = Twarc(consumer_key, consumer_secret, access_token, access_token_secret)

for tweet in t.hydrate(open('tweet_ids.txt')):

    if tweet["coordinates"]:

        loc = tweet[‘‘place"]["country"] #place based on the "point" location

        '''check the value in "loc" if it is from a country of your interest'''

        '''however do check if tweet["place"] is of NoneType. In that condition get the long, lat from tweet["coordinates"]["coordinates"] and convert it to human readable format.

    elif tweet["place"]:

        loc = tweet[‘‘place"]["country"] #bounding box region

        '''check the value in "loc" if it is from a country of your interest'''

    else:

        loc_profile = tweet["user"]["location"] #location from profile

        '''check the value in "loc_profile" if it is from a country of your interest'''

Submitted by Rabindra Lamsal on Thu, 08/06/2020 - 22:58

when I upload the CSV file into Hydrator I get this error message.

Tweet ID File Error

invalid tweet id on line 1 in /Users/ra**/Desktop/march24_march25 geo.csv

 

Can you help me please.

Submitted by Gayathri Parame... on Thu, 07/09/2020 - 04:31

The CSV files in this dataset have two columns: the first column is tweet ID and the second column is sentiment score. The Hydrator app takes in a CSV file as input with only the tweet ID column. So you'll have to remove the second column from the CSV files before feeding the files into the Hydrator app. Dropping a column in Pandas is quite straightforward. See the Instructions section of this dataset page. Note that, MS Excel should not be used for this purpose, as it handles numbers only up to 15 digits precision; however, tweet IDs are of 19 digits.

Submitted by Rabindra Lamsal on Thu, 07/09/2020 - 13:04

corona_tweets_04.csv: 1,233,340 tweets (March 21, 2020 09:27 AM - March 22, 2020 07:46 AM) of these number of tweet ids the hydrator read only close to 10 lakh ids and the resulting csv file contained tweets of only 1 lakh ids of which only 430 tweets belonged to India. What is the reason?

Submitted by Moonis Shakeel on Mon, 07/20/2020 - 00:35

I do not understand why only 10 out of 12 lacs of the IDs were loaded by the hydrator app. And I am totally unaware why the resulting CSV file has just 1 lac tweets. Please write to the developer about this. However, I would suggest you use the twarc python library instead. I've used the library in the past, and I was easily hydrating around 3-4 million IDs per task.

You received 430 tweets belonging to India from a single day file. This is a good number if you'll ask me. Tweets are rarely geo-tagged. You might find this surprising, but the number of tweets in this dataset as of today is around 322 million, out of which 145.9k are geo-tagged.

Submitted by Rabindra Lamsal on Mon, 07/20/2020 - 11:15

Please help impport csv file with more than 1048576 rows.

Submitted by Moonis Shakeel on Mon, 07/20/2020 - 07:19

If you're experiencing problems with the hydrator app, use twarc. 

Submitted by Rabindra Lamsal on Mon, 07/20/2020 - 10:00

Hi Rabindra, is it possible for oyu to share the 54 keywords please that you are using to search for the tweets as the section above just says there are 54 keywords but doesn'ts state what they are and this would be helpful for my research. Best wishes, Farhaan - UCL in London 

Submitted by Farhaan Ali on Sun, 08/02/2020 - 14:24

Hello Farhaan. Please refer to my comment below.

Submitted by Rabindra Lamsal on Mon, 08/03/2020 - 21:59

Hello Farhaan. Looks like the site has got a new UI and I don't find a reply option to the thread you've started. Anyway, here's an overview of the filtering keywords used for the collection of tweets. FYI, a manuscript is on its way; I'll update this page once it finishes.

(i) corona, coronavirus, covid, ncov, ncov2019, pandemic, quarantaine, hand sanitizer, lockdown, social distancing, ppe, n95, covidiots, herd immunity, pneumonia, chinese virus, wuhan virus, kung flu, (ii) variants of covid(19,-19,_19), sars cov 2, 2019 ncov, flatten(ing) the curve, work(ing) from home, and (iii) the respective hashtags of all the keywords mentioned. 

Submitted by Rabindra Lamsal on Mon, 08/03/2020 - 06:27

how can I download all the files without automatically? thanks you very much

Submitted by An Vu on Tue, 08/11/2020 - 08:43

how can I download all the files automatically? thanks you very much

Submitted by An Vu on Tue, 08/11/2020 - 08:43

Please write to IEEE DataPort.

Submitted by Rabindra Lamsal on Wed, 08/12/2020 - 00:11

How to get country wise tweet-count of each day?

Submitted by Rounak Agarwal on Sun, 08/16/2020 - 12:36

You must consider dealing with the ['place'] Twitter object to come up with the country-wise distribution of the tweets. Or you can use the COVID-19 Geo-tagged dataset (https://ieee-dataport.org/open-access/coronavirus-covid-19-geo-tagged-tw...); this secondary dataset is small and hydrating the tweets for your purpose might be quite easy. But if you are looking for large numbers in the distribution chart, you'll have to hydrate the tweets IDs of this dataset and check for the ['place'] object and only store the tweets that are geo-tagged or have twitter place defined, for finally coming up with a country-wise distribution.

Submitted by Rabindra Lamsal on Mon, 08/17/2020 - 00:57

Thank you so much Rabindra for your response. Could you please guide me how I can extract country-code from the user's profile who have created the tweet having its place object null?

Submitted by Rounak Agarwal on Mon, 08/17/2020 - 05:24

The location object in user dict lets you access the address given on a user's profile. However, that field is not really validated for authentic geo-address. Even addresses such as "Milky Way Galaxy", "Earth", "Land", "My Dream", ..., etc are accepted entries. Therefore, I'm not sure if you'd really want to make use of the profile address for extracting country information. If I had to anyhow come up with some way around to get this stuff done, then I would probably geo-code the address given in the profile field, and finally, reverse-geocode the coordinates to extract the country information.

Submitted by Rabindra Lamsal on Mon, 08/17/2020 - 22:41

Hiii, I am doing research on covid-19 infodemic using your database. I wanted to compare my results with other papers. Can you provide me with some research papers which have used your dataset?
Thankyou

Submitted by Kritika Saini on Mon, 08/24/2020 - 08:16

Hello Kritika. I have not personally kept track of papers, scholarly articles, blogs, etc. that might be referencing this dataset. However, a couple of searches on Google and Google Scholar might help you land on those articles. Thank you.

Submitted by Rabindra Lamsal on Mon, 08/24/2020 - 13:32

Do you have a sense on how much of the tweets are deleted on average? The hydrator often reads more tweets but it is reporting that about 20% were deleted and so could not be read when I tried on a small sample of 5000. In your view, if I am trying to find disinformation words about covid such as 5g, bioweapon etc. in the tweets, how big of a problem is the issue of deletion?

Submitted by SAMIKSHYA SIWAKOTI on Thu, 10/22/2020 - 01:50

Do you have a sense on how much of the tweets are deleted on average? The hydrator often reads more tweets but it is reporting that about 20% were deleted and so could not be read when I tried on a small sample of 5000. In your view, if I am trying to find disinformation words about covid such as 5g, bioweapon etc. in the tweets, how big of a problem is the issue of deletion?

Submitted by SAMIKSHYA SIWAKOTI on Thu, 10/22/2020 - 01:50

remarks: Just letting others know that this query has been answered.

Submitted by Rabindra Lamsal on Thu, 10/22/2020 - 08:15

After I've put the data into R I see the text that looks like that, for example: "RT @namehere: here’s a deleted scene from TWD’s special on corona virus ". Where do these weird letters come from? Because of that I had that weird â in most popular words :D how to get rid of that?

Submitted by Dominika Borowska on Sun, 10/25/2020 - 08:40

Is this the encoding problem? I'm doing what you said to do: downloading the data, then I do import pandas as pd and etc, after that I put the ready_corona_tweets into the hydrator app and after it finishes I download them as csv. I think that's where the problem starts, because when I open the file I see these weird characters.

Submitted by Dominika Borowska on Sun, 10/25/2020 - 09:25

Hello Dominika. I have never had any encoding problems with the retrieved data (I personally use twarc for hydration purposes). Also, I haven't heard anyone experiencing a similar issue while viewing hydrated CSVs. Can you please write to the developer (hydrator) mentioning the issue?

Submitted by Rabindra Lamsal on Mon, 10/26/2020 - 00:10

Hi, thank you for replaying. I see these characters in csv, even before analysing them in R. I think these are emoticons? I think I can get rid of them with some code in R, but I still don't know why I see them like that. How do you see emoticons in hydrated tweets?

Submitted by Dominika Borowska on Wed, 10/28/2020 - 06:20

I use twarc to hydrate the IDs and pass the ['full_text'] through unidecode() function to make sure the text data is readable. https://pypi.org/project/Unidecode/

Submitted by Rabindra Lamsal on Thu, 10/29/2020 - 00:16

Do you see these unusual characters in the CSV file itself (use any spreadsheet app) or only after importing it into R?

Submitted by Rabindra Lamsal on Mon, 10/26/2020 - 00:27

good day!

I am trying to open the first file of this set and it says file is encrypted. I am using DB browser for SQLITE. I appreciate all the help. THanks!

Submitted by Aziz Sinno on Thu, 11/05/2020 - 08:05

Hello Aziz. This dataset contains just the CSV files with lists of tweet IDs which you'll have to hydrate using applications such as hydrator or twarc. How are you creating a DB file from the IDs? Please clarify. If you carefully follow the instructions given above, you'll be easily hydrating the IDs into a fresh raw dataset.

Submitted by Rabindra Lamsal on Fri, 11/06/2020 - 00:10

I can't download anything. The downloads are extremely slow, it's also not due to my internet. I really need this data for my bachelor thesis. I get 0 B/s.

Submitted by niyazi ciftci on Thu, 11/26/2020 - 13:05

Hello Niyazi. Please write to IEEE DataPort using this page: https://ieee-dataport.org/contact/. They'll definitely help you out. And all the best for your thesis!

Submitted by Rabindra Lamsal on Fri, 11/27/2020 - 01:04

Thank you for your quick reply Lamsal. My friend downloaded them for me.

Submitted by niyazi ciftci on Sun, 11/29/2020 - 08:35

Great.

Submitted by Rabindra Lamsal on Sun, 11/29/2020 - 21:26

Where are the mentioned datasets? Can you please help me?
corona_tweets_1M.db, corona_tweets_1M_2, corona_tweets_1M, corona_tweets_2L, corona_tweets_2M.db, corona_tweets_2M_2, corona_tweets_2M_3 and corona-_tweets_3M

Submitted by Karthik Velmurugan on Tue, 09/21/2021 - 12:15

Hi Karthik. Before March 20, 2020, I had these files publicly shared. But due to Twitter's policy, I had to rebuild this dataset so that their Terms of use are not violated. To get the original tweets you'll need to hydrate the tweet IDs provided by this dataset. You can make use of tools such as Hydrator and twarc to hydrate the IDs and re-create a fresh dataset for yourself.
Thanks.

Submitted by Rabindra Lamsal on Wed, 09/22/2021 - 22:44

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