Welcome to the InfoSci Platform
Exploiting Chi Square Method for Sentiment Analysis of Product Reviews

Exploiting Chi Square Method for Sentiment Analysis of Product Reviews

Nilesh M. Shelke, Shrinivas P. Deshpande
Copyright: © 2020 |Pages: 18
ISBN13: 9781799809517|ISBN10: 179980951X|EISBN13: 9781799809524
DOI: 10.4018/978-1-7998-0951-7.ch022
Cite Chapter Cite Chapter

MLA

Shelke, Nilesh M., and Shrinivas P. Deshpande. "Exploiting Chi Square Method for Sentiment Analysis of Product Reviews." Natural Language Processing: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2020, pp. 422-439. https://doi.org/10.4018/978-1-7998-0951-7.ch022

APA

Shelke, N. M. & Deshpande, S. P. (2020). Exploiting Chi Square Method for Sentiment Analysis of Product Reviews. In I. Management Association (Ed.), Natural Language Processing: Concepts, Methodologies, Tools, and Applications (pp. 422-439). IGI Global. https://doi.org/10.4018/978-1-7998-0951-7.ch022

Chicago

Shelke, Nilesh M., and Shrinivas P. Deshpande. "Exploiting Chi Square Method for Sentiment Analysis of Product Reviews." In Natural Language Processing: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 422-439. Hershey, PA: IGI Global, 2020. https://doi.org/10.4018/978-1-7998-0951-7.ch022

Export Reference

Mendeley
Favorite

Abstract

Sentiment analysis is an extension of data mining which employs natural language processing and information extraction task to recognize people's opinion towards entities such as products, services, issues, organizations, individuals, events, topics, and their attributes. It gives the summarized opinion of a writer or speaker. It has received lot of attention due to increasing number of posts/tweets on social sites. The proposed system is meant to classify a given text of review into positive, negative, or the neutral category. Primary objective of this article is to provide a method of exploiting permutation and combination and chi values for sentiment analysis of product reviews. Publicly available freely dictionary SentiWordNet 3.0 has been used for review classification. The proposed system is domain independent and context aware. Another objective of the proposed system is to identify the feature specific intensity with which reviewer has expressed his opinion. Effectiveness of the proposed system has been verified through performance matrix and compared with other research work.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.