Reference Hub12
Emotion Analysis for Opinion Mining From Text: A Comparative Study

Emotion Analysis for Opinion Mining From Text: A Comparative Study

Amr Mansour Mohsen, Amira M. Idrees, Hesham Ahmed Hassan
Copyright: © 2019 |Volume: 15 |Issue: 1 |Pages: 21
ISSN: 1548-3673|EISSN: 1548-3681|EISBN13: 9781522564362|DOI: 10.4018/IJeC.2019010103
Cite Article Cite Article

MLA

Mohsen, Amr Mansour, et al. "Emotion Analysis for Opinion Mining From Text: A Comparative Study." IJEC vol.15, no.1 2019: pp.38-58. http://doi.org/10.4018/IJeC.2019010103

APA

Mohsen, A. M., Idrees, A. M., & Hassan, H. A. (2019). Emotion Analysis for Opinion Mining From Text: A Comparative Study. International Journal of e-Collaboration (IJeC), 15(1), 38-58. http://doi.org/10.4018/IJeC.2019010103

Chicago

Mohsen, Amr Mansour, Amira M. Idrees, and Hesham Ahmed Hassan. "Emotion Analysis for Opinion Mining From Text: A Comparative Study," International Journal of e-Collaboration (IJeC) 15, no.1: 38-58. http://doi.org/10.4018/IJeC.2019010103

Export Reference

Mendeley
Favorite Full-Issue Download

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.

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.