Multi Labeled Depression Corpus of 57,000 English tweets

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.本数据集为一款面向Twitter平台抑郁症检测的新型英语语料库，其文本包含否定词。该语料库共计收录57391条推文，按标签可分为三类：标签为1的“抑郁”推文24662条，标签为0的“无感”推文11923条，标签为-1的“快乐”推文20806条。所采集的推文覆盖了Twitter平台上与抑郁、快乐语义相关的各类英语表达，其中包含否定词。此外，该语料库采用Vader词典完成标注工作。最终，该语料库的文本已完成清洗与词形还原处理。