Binary Labeled Depression Corpus of 60.000 English tweets
<|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:'This is a new English corpus for depression detection from Twitter. This corpus consists of 60,173 tweets classified into 21,803 of 1 which means 'depressed' tweets, and 38,369 of 0 which means 'non-depressed' tweets. the fetched tweets covered a wide range of English synonymous with depression and happiness on Twitter. In addition, It has been labelled using the Vader lexicon. Finally, this corpus's text has been cleaned and lemmatized' . 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" : ["depression detection, depressed, anxiety, suicidal"]} <|eot_id|>
 Here is the Description of a dataset. Description:'This is a new English corpus for depression detection from Twitter. This corpus consists of 60,173 tweets classified into 21,803 of 1 which means 'depressed' tweets, and 38,369 of 0 which means 'non-depressed' tweets. the fetched tweets covered a wide range of English synonymous with depression and happiness on Twitter. In addition, It has been labelled using the Vader lexicon. Finally, this corpus's text has been cleaned and lemmatized' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
This is a new English corpus for depression detection from Twitter. This corpus consists of 60,173 tweets classified into 21,803 of 1 which means 'depressed' tweets, and 38,369 of 0 which means 'non-depressed' tweets. the fetched tweets covered a wide range of English synonymous with depression and happiness on Twitter. In addition, It has been labelled using the Vader lexicon. Finally, this corpus's text has been cleaned and lemmatized
depression detection, depressed, anxiety, suicidal