This dataset contains twitter data submitted to IEEE. The datasets contain tweets in CSV file format, for anonymity only tweet ID is provided for each tweet. The tweets have been collected by the model deployed here at this link. The model monitors the real-time Twitter feed for corona virus-related tweets, using filters: language “en”, and keywords “corona”, "coronavirus", "covid", "covid19" and variants of "sarscov2".
You will need an IEEE account to download the CSV files
Update Frequency: Updated Daily (one .CSV per day - size of each file varies between ~ 11mb and 30mb)
Dataset Stats: 81,413,148 Tweet in 56 .CSV files (Globally in "en" language as of May 13, 2020)
Real-time Twitter feed for corona virus-related tweets, using filters: language “en”, and keywords “corona”, "coronavirus", "covid", "covid19" and variants of "sarscov2"
| Column | Description |
|---|---|
twitter_id |
ID of the individual tweets |
sentiment |
Sentiment score for each tweet |
| Project Name | Link |
|---|---|
| Live Twitter Sentiment Dashboard by Analyzing COVID -19 Tweets | https://live.rlamsal.com.np/ |