A Comprehensive Analysis of various techniques used for Sentiment Classification

Authors

  • Foram K. Kalyani M.E. Student, Atmiya Institute of Technology and Science, Rajkot, Gujarat, India
  • Prof. Tosal M. Bhalodia Department of Computer Engineering, Atmiya Institute of Technology and Science, Rajkot, Gujarat, India

Keywords:

Classification, Emotion AI, Machine Learning, Neural Network, Opinion Mining, Sentiment Analysis

Abstract

With the beginning of Web, various social media sites such as review websites, blogs, and community
websites have been developed to gather the opinions of the user. This websites, blogs determine the sentiment or opinion
of the user towards product or service. Recent survey conveys that online reviews of user have greater impact than
offline reviews. People lean more on the opinions of the user. This paper presents a detailed analysis of approaches or
techniques used in classification of sentiments. The paper describes various approaches of Machine learning and Neural
network used for sentiment classification

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Published

2017-04-25

How to Cite

Foram K. Kalyani, & Prof. Tosal M. Bhalodia. (2017). A Comprehensive Analysis of various techniques used for Sentiment Classification. International Journal of Advance Engineering and Research Development (IJAERD), 4(4), 348–355. Retrieved from https://ijaerd.com/index.php/IJAERD/article/view/2557

Issue

Vol. 4 No. 4 (2017): Volume 4 Issue 4 April 2017

Section

Articles