A Survey On Classification Of Sentiment Data Using OpinionMining
| Author(s) | : | Malini Joshi, Hetal Vala, Zubin Bhaidas |
| Institution | : | Computer Science Engineering, Parul Institute of Engineering & Technology |
| Published In | : | Vol. 2, Issue 1 — January 2015 |
| Page No. | : | 296-300 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
— Sentiment analysis or opinion mining is the computational study of people’s opinions, appraisals, attitudes,and emotions toward entities, individuals, issues, events, topics and their attributes. Sentiment analysis is the outcome ofour research in gathering opinion and review data from popular portals, e-commerce websites, forums or socialnetworks; and processing the data using the rules of natural language and grammar to find out what exactly was beingtalked about in the user's review and the sentiments that people are expression. In sentiment data analysis used inparsing and scoring algorithm and here work on this two algorithm and define the dictionary and product rate easilysearch on review of the product using Naïve Bayes technique. Sentiment Analysis is the product feature and scoring thewords.
Malini Joshi, Hetal Vala, Zubin Bhaidas, “A Survey On Classification Of Sentiment Data Using OpinionMining”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 2, Issue 1, pp. 296-300, January 2015.
