Twitter dataset about Brexit
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'A large dataset containing the public tweets about Brexit comprising 45 months (from January 2016 until September 2019). This dataset comprises 50.8 million tweets and 3.97 million users. It also contains additional attributes including political stance classification, sentiment analysis, and automated account (bot) scores' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["Brexit Referendum","Political Debate","Political Stance"]} <|eot_id|>
 Here is the Description of a dataset. Description:'A large dataset containing the public tweets about Brexit comprising 45 months (from January 2016 until September 2019). This dataset comprises 50.8 million tweets and 3.97 million users. It also contains additional attributes including political stance classification, sentiment analysis, and automated account (bot) scores' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
A large dataset containing the public tweets about Brexit comprising 45 months (from January 2016 until September 2019). This dataset comprises 50.8 million tweets and 3.97 million users. It also contains additional attributes including political stance classification, sentiment analysis, and automated account (bot) scores
Brexit Referendum; Political Debate; Political Stance