A Hybrid Approach for Determining Sentiment Intensity of Arabic Twitter Phrases

Eshrag Refaee, Verena Rieser

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publicationProceedings of the 10th International Workshop on Semantic Evaluation
PublisherAssociation for Computational Linguistics
Publication statusAccepted/In press - 31 Mar 2016
Event10th International Workshop on Semantic Evaluation 2016 - San Diego, California, United States
Duration: 16 Jun 201617 Jun 2016

Conference

Conference10th International Workshop on Semantic Evaluation 2016
Abbreviated titleSemEval 2016
CountryUnited States
CitySan Diego, California
Period16/06/1617/06/16

Datasets

Arabic Gold Standard Twitter Data for Sentiment Analysis

Refaee, E. (Creator) & Rieser, V. (Creator), European Language Resources Association, 2014

Dataset

Cite this

Refaee, E., & Rieser, V. (Accepted/In press). A Hybrid Approach for Determining Sentiment Intensity of Arabic Twitter Phrases. In Proceedings of the 10th International Workshop on Semantic Evaluation Association for Computational Linguistics.