Abstract

In Indian sub-continent COVID-19 second wave started in early March 2021 and its effect was more lethal than the first wave, the confirmed cases and the death rate was higher than in the first wave. Unlike the national lockdown in 2020, this year different states have started imposing lockdown like restrictions spanning April-June 2021. This paper investigates the sentiments of the people using twitter messages during early period of the second wave. Two-weeks data is manually annotated and several machine learning models were built. The best performing models were used to predict sentiments for the next 2-3 weeks and analysis is presented. Predictions of public, commercial libraries were also analysed in the same context.

Instructions:

If you use this dataset, please cite our paper. The paper contains details of the dataset and link to this download site also

M. Bl, S. Midha and V. R. Murthy Oruganti, "Sentiment Analysis in Indian Sub-continent During COVID-19 Second Wave using Twitter Data," 2021 IEEE 9th Region 10 Humanitarian Technology Conference (R10-HTC), 2021, pp. 01-06, doi: 10.1109/R10-HTC53172.2021.9641559.

Comments

Thanks a lot. I am using your dataset for a research in Geo Big Data

Submitted by Giancarlo Alciaturi on Wed, 10/13/2021 - 18:04

Thanks for your interest

Submitted by Ramana Murthy O... on Thu, 11/11/2021 - 05:33

Thank you!

Submitted by Sachi Sinha on Fri, 10/22/2021 - 07:24

Thanks for your interest

Submitted by Ramana Murthy O... on Thu, 11/11/2021 - 05:33

Dataset Files

Tweet IDs and annotations Apr2_May6_TweetID_Annotations.zip (1.82 MB)

Datasets

Standard Dataset

COVID-19 second wave tweets (with annotations)

Abstract

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Dataset Files

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