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Emotion Analysis for Opinion Mining From Text: A Comparative Study

Emotion Analysis for Opinion Mining From Text: A Comparative Study
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Author(s): Amr Mansour Mohsen (Faculty of Computers and Information Technology, Future University in Egypt, New Cairo, Egypt), Amira M. Idrees (Faculty of Computers and Information Technology, Future University in Egypt, New Cairo, Egypt)and Hesham Ahmed Hassan (Faculty of Computers and Information, Cairo University, Giza, Egypt)
Copyright: 2019
Volume: 15
Issue: 1
Pages: 21
Source title: International Journal of e-Collaboration (IJeC)
Editor(s)-in-Chief: Jingyuan Zhao (University of Toronto, Canada)
DOI: 10.4018/IJeC.2019010103

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Abstract

In the past few years, web documents, blogs, and reviews have played an important role in many fields as organizations always aim to find consumer or public opinions about their products and services. On the other hand, individual consumers also seek the opinions or emotions of existing users of a certain product before purchasing it. This method is currently one of the most vital methods for adapting the organizations' plans. In this article, the authors provide a survey for different techniques and approaches for emotion analysis from the text. They also demonstrate the techniques and the methods that have been proposed by different researchers with criticizing many of these methods according to the applied approach and the accuracy level.

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