INTERNATIONAL JOURNAL OF ENGINEERING, SCIENCE AND - Volume 7, Issue 5, May 18

Pages: 207-212

Date of Publication: 20-May-2018

Print Article   Download XML  Download PDF

PERFORMANCE EVALUATION OF NAÏVE BAYES AND MAXIMUM ENTROPY MODEL THROUGH OPINION MINING

Author: Ashwani Kumar* Deepika Goyal

Category: Engineering, Science and Mathematics

Abstract:

Opinions, sentiments, evaluations, attitudes, and emotions are the subjects of study of sentiment analysis and opinion mining. The inception and rapid growth of the field coincide with those of the social media on the Web, e.g., reviews, forum discussions, blogs, micro blogs, Twitter, and social networks, because, we have a huge volume of opinionated data recorded in digital forms. Since early 2000, opinion mining has grown to be one of the most active research areas in natural language processing. It is also widely studied in data mining, Web mining, and text mining. In fact, it has spread from computer science to management sciences and social sciences due to its importance to business and society as a whole. In recent years, industrial activities surrounding opining mining have also thrived.

Keywords: Naïve Bayes; Maximum Entropy Model; Opinion Mining.