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 available	2014
Publisher	European Language Resources Association
Date of data production	2014 -

A Hybrid Approach for Determining Sentiment Intensity of Arabic Twitter Phrases
Refaee, E. & Rieser, V., 31 Mar 2016, (Accepted/In press) Proceedings of the 10th International Workshop on Semantic Evaluation. Association for Computational Linguistics
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Benchmarking Machine Translated Sentiment Analysis for Arabic Tweets
Refaee, E. & Rieser, V., 2015, 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. Association for Computational Linguistics, p. 71-78
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

22 Citations (Scopus)
An Arabic Twitter Corpus for Subjectivity and Sentiment Analysis
Refaee, E. & Rieser, V., 2014, Proceedings of the 9th International Conference on Language Resources and Evaluation. Calzolari, N. (ed.). European Language Resources Association, p. 2268-2273 6 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Open Access
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