Automatically annotated sentiment corpora

Dataset

Date made available2016
PublisherHeriot-Watt University
Date of data production2013 - 2016

Research Output

  • 2 Conference contribution

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 proceedingConference 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 proceedingConference contribution

Cite this

Rieser, V. (Creator), Refaee, E. (Creator) (2016). Automatically annotated sentiment corpora. Heriot-Watt University.