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Covishield Public Sentiment Analysis Data
Patient Health Records & Digital Health
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About
Focused on public discourse surrounding the Covishield COVID vaccine, this dataset captures raw tweet data essential for sentiment analysis and Natural Language Processing (NLP) modelling. It provides rich social media text and metadata necessary for understanding user responses and tracking public opinion shifts related to the vaccine rollout. The data was collected with the specific purpose of allowing users to perform NLP tasks and study public sentiments and responses towards the vaccine.
Columns
The dataset contains six columns:
- Index: A numerical identifier for each record, spanning values up to 9998.
- Time: Records the exact date and time the tweet was posted (a DateTime field).
- From-User: The Twitter username associated with the tweet. There are 8,017 unique usernames present in the collection.
- From-User-Id: The unique numerical identifier for the user.
- Text: The full content of the tweet. Notable entries include retweets addressing statements about no loss of production and discussions concerning a major fire at the Serum Institute of India.
- Retweet-Count: The numerical quantity of times the tweet was retweeted. This count ranges from 0 up to 10.5 thousand.
Distribution
The data is delivered in a CSV file format, specifically named
Covishield_tweets.csv. The file size is approximately 2.04 MB. The collection contains 9,999 valid records across all primary fields. Updates to this dataset are expected to occur on a weekly basis.Usage
This data is ideal for:
- Performing NLP tasks, particularly sentiment scoring and classification related to public health topics.
- Analysing temporal trends and shifts in responses towards the vaccine.
- Studying social media behaviour and information dissemination during a critical public health event.
Coverage
The dataset focuses specifically on tweets mentioning the Covishield vaccine. The time period covered is highly concentrated, running from 21 January 2021 to 24 January 2021. Activity was notably high on 21 January 2021, accounting for the largest volume of records.
License
CC0: Public Domain
Who Can Use It
- NLP Scientists: For developing and testing algorithms for social media sentiment detection.
- Public Health Researchers: To gauge public acceptance, concern, or opposition to vaccination programmes.
- Data Analysts: For generating quick reports on real-time social media responses and tracking headline impact.
Dataset Name Suggestions
- Covishield Public Sentiment Analysis Data
- Social Media Response to Covishield Vaccine
- January 2021 Vaccine Tweet Collection
- Covishield Twitter Sentiment Data
Attributes
Original Data Source: Covishield Public Sentiment Analysis Data
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