Binary Labeled Depression Corpus of 57000 English tweets

Name: Binary Labeled Depression Corpus of 57000 English tweets
Creator: Faculty of Graduate Studies for Statistical Research, Cairo University
Published: 2022-01-01T00:00:00+08:00

Harvard Dataverse2022-12-27 更新2026-04-09 收录

心理健康文本分类

抑郁症社交媒体检测

数据链接：

https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/RY1THB 数据链接链接失效反馈

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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 25,233 of 1 which means "depressed" tweets, and 32,158 of 0 which refers to "non-depressed" tweets. 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.

提供机构：

Faculty of Graduate Studies for Statistical Research, Cairo University

创建时间：

2022-01-01

Binary Labeled Depression Corpus of 57000 English tweets

资源简介：

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