Arabic Gold Standard Twitter Data for Sentiment Analysis

Dataset

Description

6514 Arabic Tweets manually annotated for sentiment (positive, negative, neutral) and features used for classification.
Date made available2014
PublisherEuropean Language Resources Association
Date of data production2014 -

Cite this

Refaee, E. (Creator), Rieser, V. (Creator). (2014): Arabic Gold Standard Twitter Data for Sentiment Analysis, European Language Resources Association. GS2_DataSet_to_HWU(.zip). 10.17861/0e0a6b6b-4892-4c6e-b640-b204e1190cea