iLab-Edinburgh at SemEval-2016 Task 7: A Hybrid Approach for Determining Sentiment Intensity of Arabic Twitter Phrases

Eshrag Refaee, Verena Rieser


Anthology ID:
S16-1077
Volume:
Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016)
Month:
June
Year:
2016
Address:
San Diego, California
Venue:
SemEval
SIGs:
SIGLEX | SIGSEM
Publisher:
Association for Computational Linguistics
Note:
Pages:
474–480
Language:
URL:
https://aclanthology.org/S16-1077
DOI:
10.18653/v1/S16-1077
Bibkey:
Cite (ACL):
Eshrag Refaee and Verena Rieser. 2016. iLab-Edinburgh at SemEval-2016 Task 7: A Hybrid Approach for Determining Sentiment Intensity of Arabic Twitter Phrases. In Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016), pages 474–480, San Diego, California. Association for Computational Linguistics.
Cite (Informal):
iLab-Edinburgh at SemEval-2016 Task 7: A Hybrid Approach for Determining Sentiment Intensity of Arabic Twitter Phrases (Refaee & Rieser, SemEval 2016)
Copy Citation:
PDF:
https://aclanthology.org/S16-1077.pdf