Dataset Built for Arabic Sentiment Analysis-Reference-Cited by-同舟云学术

Dataset Built for Arabic Sentiment Analysis

Published:2017-08-31 Issue: Volume: Page:406-416
ISSN:2194-5357
Container-title:Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2017
language:
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Author:

Salem Al Mukhaiti Ayesha Jumaa,Siddiqui Sanjeera,Shaalan Khaled

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-64861-3_38

Reference11 articles.

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

2. Abdul-Mageed, M., Diab, M.: SANA: a large scale multi-genre, multi-dialect lexicon for arabic subjectivity and sentiment analysis. In: Proceedings of the Language Resources and Evaluation Conference. In: LREC, pp. 1162–1169 (2014)

3. Abdulla, N.A., et al.: Towards improving the lexicon-based approach for Arabic sentiment analysis. Int. J. Inf. Technol. Web Eng. (IJITWE) 9(3), 55–71 (2014)

4. Ahmad, K.: Multi-lingual sentiment analysis of financial news streams. In: PoS, p. 001 (2006)

5. Almas, Y., Ahmad, K.: A note on extracting ‘sentiments’ in financial news in English, Arabic & Urdu. In: The Second Workshop on Computational Approaches to Arabic Script-Based Languages, pp. 1–12 (2007)

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