Sentiment Analysis on Arabic Tweets: Challenges to Dissecting the Language-Reference-Cited by-同舟云学术

Sentiment Analysis on Arabic Tweets: Challenges to Dissecting the Language

Published:2017 Issue: Volume: Page:191-202
ISSN:0302-9743
Container-title:Social Computing and Social Media. Applications and Analytics
language:
Short-container-title:

Author:

Abdullah Malak,Hadzikadic Mirsad

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-58562-8_15

Reference51 articles.

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2. Abdul-Mageed, M., Diab, M.T.: SANA: a large scale multi-genre, multi-dialect lexicon for Arabic subjectivity and sentiment analysis. In: LREC, pp. 1162–1169 (2014)

3. Abdul-Mageed, M., Kübler, S., Diab, M.: SAMAR: a system for subjectivity and sentiment analysis of Arabic social media. In: Proceedings of the 3rd Workshop in Computational Approaches to Subjectivity and Sentiment Analysis, pp. 19–28. Association for Computational Linguistics (2012)

4. Abdulla, N.A., Ahmed, N.A., Shehab, M.A., Al-Ayyoub, M.: Arabic sentiment analysis: lexicon-based and corpus-based. In: 2013 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT), pp. 1–6. IEEE (2013)

5. Agarwal, A., Biadsy, F., Mckeown, K.R.: Contextual phrase-level polarity analysis using lexical affect scoring and syntactic n-grams. In: Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics, pp. 24–32. Association for Computational Linguistics (2009)

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