Big data analysis to Features Opinions Extraction of customer

Author:

Mars Ammar,Gouider Mohamed Salah

Publisher

Elsevier BV

Subject

General Engineering

Reference27 articles.

1. Feature-based opinion mining in financial news: an ontology-driven approach;Salas-Zárate;Journal of Information Science,2016

2. Extracting product features and opinion words using pattern knowledge in customer reviews;Htay;The Scientific World Journal,2013

3. X. Ding, B. Liu, and P. S. Yu, “A holistic lexicon-based approach to opinion mining,” in Proceedings of the 2008 international conference on web search and data mining. ACM, 2008 231-240.

4. A. Mars, M. S. Gouider, and L. B. Säıd, “A new big data framework for customer opinions polarity extraction,” in International Conference: Beyond Databases, Architectures and Structures. Springer, 2015 518-531.

5. B. B. Wang, R. I. Mckay, H. A. Abbass, and M. Barlow, “A comparative study for domain ontology guided feature extraction,” in Proceedings of the 26th Australasian computer science conference-Volume 16. Australian Computer Society, Inc., 2003 69-78.

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