A hybrid approach for sentiment classification of Egyptian dialect tweets

Authors

Amira Shoukry, American University in Cairo
Ahmed Rafea, American University in CairoFollow

Files

Department

Computer Science & Engineering Department

Abstract

[abstract not available]

Publication Date

2-29-2016

Document Type

Book Chapter

Book Title

Proceedings - 1st International Conference on Arabic Computational Linguistics: Advances in Arabic Computational Linguistics, ACLing 2015

ISBN

SCOPUS_ID:84969850433

Publisher

IEEE

City

Cairo, Egypt

First Page

78

Last Page

85

Keywords

Feature, Polarity, Sentiment Analysis, Tweets

Recommended Citation

APA Citation

Shoukry, A. & Rafea, A. (2016). A hybrid approach for sentiment classification of Egyptian dialect tweets. Proceedings - 1st International Conference on Arabic Computational Linguistics: Advances in Arabic Computational Linguistics, ACLing 2015 (pp. 78-85). IEEE.

MLA Citation

Shoukry, Amira, et al. "A hybrid approach for sentiment classification of Egyptian dialect tweets." Proceedings - 1st International Conference on Arabic Computational Linguistics: Advances in Arabic Computational Linguistics, ACLing 2015, IEEE, 2016. pp. 78-85