Using Synonym and Definition WordNet Semantic relations for implicit aspect identification in Sentiment Analysis-Reference-Cited by-同舟云学术

Using Synonym and Definition WordNet Semantic relations for implicit aspect identification in Sentiment Analysis

Published:2019 Issue: Volume: Page:
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Container-title:Proceedings of the 2nd International Conference on Networking, Information Systems & Security - NISS19
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Author:

Hajar El Hannach¹,Mohammed Benkhalifa¹

Affiliation:

1. ANISSE research team Computer science department, Mohammed V University Rabat, Morocco

Publisher

ACM Press

Reference13 articles.

1. B. Liu, Sentiment analysis: mining opinions, sentiments, and emotions. New York, NY: Cambridge University Press, 2015.

2. B. Liu, M. Hu, and J. Cheng, "Opinion observer: analyzing and comparing opinions on the web," in Proceedings of the 14th international conference on World Wide Web, 2005, pp. 342--351.

3. L. Sun, S. Li, J. Li, and J. Lv, "A Novel Context-based Implicit Feature Extracting Method," International Conference on Data Science and Advanced Analytics (DSAA), p. 5, 2014.

4. G. Fei and B. Liu, "A Dictionary Based Approach to Identifying Aspects Implied by Adjectives for Opinion Mining," The COLING 2012 Organizing Committee; Proceedings of COLING 2012: Posters, pages 309--318, Mumbai, Dec-2012.

5. B. Pang, L. Lee, and S. Vaithyanathan, "Thumbs up?: sentiment classification using machine learning techniques," in Proceedings of the ACL-02 conference on Empirical methods in natural language processing-Volume 10, 2002, pp. 79--86.

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