Twitter Titling Corpus
<|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:'The Twitter Titling Corpus contains 4002 stance-annotated tweets collected between 20 June 2017 and 30 August 2017 mentioning 6 presidents. Each tweet is annotated for the naming form used to refer to the president, for the purpose of a study on the relation between naming variation and stance (cited below).This data is to be used for research purposes only.Columnstweet_id: id of the tweetpresident: person entity mentioned in the tweet who was president at the time of collectioncountry: country the president was president of at the time of collectionstance: positive, neutral or negative sentiment towards the presidentnaming form: form used to refer to presi' . 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" : ["annotated tweets","computational social science","entity  framing","political discourse","sentiment","social media","twitter corpus"]} <|eot_id|>
 Here is the Description of a dataset. Description:'The Twitter Titling Corpus contains 4002 stance-annotated tweets collected between 20 June 2017 and 30 August 2017 mentioning 6 presidents. Each tweet is annotated for the naming form used to refer to the president, for the purpose of a study on the relation between naming variation and stance (cited below).This data is to be used for research purposes only.Columnstweet_id: id of the tweetpresident: person entity mentioned in the tweet who was president at the time of collectioncountry: country the president was president of at the time of collectionstance: positive, neutral or negative sentiment towards the presidentnaming form: form used to refer to presi' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
The Twitter Titling Corpus contains 4002 stance-annotated tweets collected between 20 June 2017 and 30 August 2017 mentioning 6 presidents. Each tweet is annotated for the naming form used to refer to the president, for the purpose of a study on the relation between naming variation and stance (cited below).This data is to be used for research purposes only.Columnstweet_id: id of the tweetpresident: person entity mentioned in the tweet who was president at the time of collectioncountry: country the president was president of at the time of collectionstance: positive, neutral or negative sentiment towards the presidentnaming form: form used to refer to presi
annotated tweets; computational social science; entity  framing; political discourse; sentiment; social media; twitter corpus