TweetsCOV19 - A Semantically Annotated Corpus of Tweets About the COVID-19 Pandemic (Part 4, January 2021 - August 2022)

Features are separated by tab character ("\t"). The following list indicate the feature indices: Tweet Id: Long. Username: String.

Encrypted for privacy issues. Timestamp: Format ( "EEE MMM dd HH:mm:ss Z yyyy" ). #Followers: Integer. #Friends: Integer. #Retweets: Integer. #Favorites: Integer. Entities: String.

For each entity, we aggregated the original text, the annotated entity and the produced score from FEL library. Each entity is separated from another entity by char ";". Also, each entity is separated by char ":" in order to store "original_text:annotated_entity:score;".

If FEL did not find any entities, we have stored "null;". Sentiment: String. SentiStrength produces a score for positive (1 to 5) and negative (-1 to -5) sentiment.

We splitted these two numbers by whitespace char " ". Positive sentiment was stored first and then negative sentiment (i.e. "2 -1"). Mentions: String.

If the tweet contains mentions, we remove the char "@" and concatenate the mentions with whitespace char " ". If no mentions appear, we have stored "null;". Hashtags: String.

If the tweet contains hashtags, we remove the char "#" and concatenate the hashtags with whitespace char " ". If no hashtags appear, we have stored "null;". URLs: String: If the tweet contains URLs, we concatenate the URLs using ":-: ".

If no URLs appear, we have stored "null;" To extract the dataset from TweetsKB , we compiled a seed list of 268 COVID-19-related keywords .