Rabindra Lamsal's picture
Real name: 
Rabindra Lamsal
First Name: 
Rabindra
Last Name: 
Lamsal
Affiliation: 
School of Computing and Information Systems, University of Melbourne
Job Title: 
Ph.D. Candidate
Expertise: 
Machine Learning, Natural Language Processing, Social Computing
External links: 
Homepage
Google Scholar
Short Bio: 
I'm a Ph.D. Candidate at the School of Computing and Information Systems, University of Melbourne. I completed my BE in Computer Engineering from the Department of Computer Science & Engineering, Kathmandu University (2012-16), and M.Tech from the School of Computer and Systems Sciences, Jawaharlal Nehru University (2017-19). I was also associated with the Special Centre for Disaster Research, Jawaharlal Nehru University, as a Project associate from 2018-19. My areas of research interest are Machine Learning, Natural Language Processing, and Social Computing.

Datasets & Competitions

MegaGeoCOV Extended

This dataset (MegaGeoCOV Extended), which is an extended version of MegaGeoCOV, was introduced in this paper: A Twitter narrative of the COVID-19 pandemic in Australia (the paper will appear in proceedings of the 20th ISCRAM conference, Omaha, Nebraska, USA May 2023). Please refer to the paper for more details (e.g., keywords and hashtags used, descriptive statistics, etc.).

Categories:
Machine Learning
Social Sciences
COVID-19
729 Views

BillionCOV: An Enriched Billion-scale Collection of COVID-19 tweets for Efficient Hydration

BillionCOV is a global billion-scale English-language COVID-19 tweets dataset with more than 1.4 billion tweets originating from 240 countries and territories between October 2019 and April 2022. This dataset has been curated by hydrating the 2 billion tweets present in COV19Tweets.

Categories:
Machine Learning
Social Sciences
COVID-19
2304 Views

Tweets Originating from India During COVID-19 Lockdowns

This India-specific COVID-19 tweets dataset has been curated using the large-scale Coronavirus (COVID-19) Tweets Dataset. This dataset contains tweets originating from India during the first week of each of the four phases of nationwide lockdowns initiated by the Government of India. For more information on filtering keywords, please visit the primary dataset page.

Announcements: 

Categories:
Machine Learning
COVID-19
5076 Views

Coronavirus (COVID-19) Tweets Sentiment Trend

This dataset gives a cursory glimpse at the overall sentiment trend of the public discourse regarding the COVID-19 pandemic on Twitter. The live scatter plot of this dataset is available as The Overall Trend block at https://live.rlamsal.com.np. The trend graph reveals multiple peaks and drops that need further analysis. The n-grams during those peaks and drops can prove beneficial for better understanding the discourse.

Categories:
Machine Learning
COVID-19
6229 Views

Coronavirus (COVID-19) Geo-tagged Tweets Dataset

This dataset (GeoCOV19Tweets) contains IDs and sentiment scores of geo-tagged 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. Complying with Twitter's content redistribution policy, only the tweet IDs are shared. The tweet IDs in this dataset belong to the tweets created providing an exact location.

Categories:
Machine Learning
COVID-19
40245 Views

A Large Scale Nepali Text Corpus

Considering the ongoing works in Natural Language Processing (NLP) with the Nepali language, it is evident that the use of Artificial Intelligence and NLP on this Devanagari script has still a long way to go. The Nepali language is complex in itself and requires multi-dimensional approaches for pre-processing the unstructured text and training the machines to comprehend the language competently. There seemed a need for a comprehensive Nepali language text corpus containing texts from domains such as News, Finance, Sports, Entertainment, Health, Literature, Technology.

Categories:
Standards Research Data
6388 Views

Coronavirus (COVID-19) Tweets Dataset

This dataset (COV19Tweets) 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.

Categories:
Machine Learning
COVID-19
167753 Views

Twitter Sentiment Analysis Data

This dataset page is currently being updated. The tweets collected by the model deployed at https://live.rlamsal.com.np/ are shared here. However, because of COVID-19, all computing resources I have are being used for a dedicated collection of the tweets related to the pandemic. You can go through the following datasets to access those tweets:

Categories:
Artificial Intelligence
Machine Learning
9600 Views

300-Dimensional Word Embeddings for Nepali Language

This pre-trained Word2Vec model has 300-dimensional vectors for more than 0.5 million Nepali words and phrases. A separate Nepali language text corpus was created using the news contents freely available in the public domain. The text corpus contained more than 90 million running words. The "Nepali Text Corpus" can be accessed freely from http://dx.doi.org/10.21227/jxrd-d245.

Categories:
Computational Intelligence
3096 Views