Description
Tweets Counter: 3,709,320This dataset includes CSV files which contain the tweet IDs. The tweets have been collected by the LSTM model deployed here at sentiment.live. The model monitors the real-time Twitter feed for corona virus-related tweets. As per the Twitter Developer Policy, it is not possible for me to provide information other than the Tweet IDs (this dataset has been completely re-designed on March 20, 2020, to comply with data sharing policies set by Twitter). Note: This dataset should be solely used for non-commercial research purpose.Schema of the CSV files: First column: tweet ID, Second column: Sentiment score for the particular tweet.Files details (time: GMT+5:45):corona_tweets_01.csv: 831,327 tweets (March 20, 2020 1:37 AM - March 20, 2020 10:28 AM)corona_tweets_02.csv: 870,924 tweets (March 20, 2020 10:31 AM - March 20, 2020 9:43 PM)corona_tweets_03.csv: 773,729 tweets (March 20, 2020 9:49 PM - March 21, 2020 9:25 AM)corona_tweets_04.csv: 1,233,340 tweets (March 21, 2020 9:27 AM - March 22, 2020 7:46 AM)To make it easy for the NLP researchers to get access to the sentiment analysis of each collected tweet, the sentiment score out of TextBlob [1] has been appended as the second column. New databases will be added to this dataset every day. Bookmark this page for further updates. [1] https://textblob.readthedocs.io/en/dev/
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Metrics Over Time
Publication Details
Subfield
Safety Research
Field
Social Sciences
Domain
Social Sciences
Confidence Score
45%
Source
Scholar Data Model