Multi Labeled Depression Corpus of 57,000 English tweets
收藏DataCite Commons2025-05-11 更新2025-05-17 收录
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https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/VK2D4R
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资源简介：
This is a new English corpus for depression detection from Twitter which contains negation words. This corpus consists of 57,391 tweets classified into 24,662 of 1 which means "depressed" tweets, 11,923 of 0 which means "indifferent" tweets, and 20,806 of -1 which refers to "happy". the fetched tweets covered a wide range of English synonymous with depression and happiness on Twitter including negation words . in addition, It has been labelled using the Vader lexicon. finally, this corpus's text has been cleaned and lemmatized.
提供机构：
Harvard Dataverse
创建时间：
2022-12-26
