Multi Labeled Depression Corpus of 60,000 English tweets

Name: Multi Labeled Depression Corpus of 60,000 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

抑郁症检测

社交媒体情感

数据链接：

https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/KXB9G4 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. This corpus consists of 60,173 tweets classified into 17,669 of 1 which means "depressed" tweets, 20,762 of 0 which means "indifferent" tweets, and 21,741 of -1 which refers to "happy" 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.

提供机构：

Faculty of Graduate Studies for Statistical Research, Cairo University

创建时间：

2022-01-01

Multi Labeled Depression Corpus of 60,000 English tweets

资源简介：

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