An Arabic Twitter Corpus for Subjectivity and Sentiment Analysis
https://hdl.handle.net/21.11129/0000-000D-FE8A-A (persistent URL to this page)
An Arabic twitter data set of 7,503 tweets. The released data contains manual Sentiment Analysis annotations as well as automatically extracted features, saved in Comma Separated (CSV) and Attribute-Relation File Format (ARFF) file formats. Due to twitter privacy restrictions we replaced the original tweet with its ID.