(Publisher of Peer Reviewed Open Access Journals)
ICETTR-2013
Full-Text PDF
Paper Title : Feature based Opinion mining - towards Performance Measure
Author Name : Ravikiran Kalava, G.Anil Kumar, Ch.Vasavi
Abstract : In present era people are more depend on web for many activities like purchasing, investment, business makings etc. Because of this trend public are more dependent on other’s opinion like booking a movie tickets or for purchasing electronic goods and many more things. Their final decision is totally influenced upon the blogs based on ratings, tags or comments obtained to that specific entity. Ideas and opinions of others always affect once own opinions. Opinion mining is a process in which it deals with opinions, sentiments and subjectivity of text .In this paper a research study is made upon a specific online shopping blog service and identified some specific features which are the main functional activities for the blog towards its performance(http://www.mouthshut.com/productreviews/Jabong-com-reviews-925660222) for classifying the performance measure based on opinions from the users are calculated using Naive Baye’s Classifier and this approach gave a good experimental results.
Keywords : Opinion mining, sentiment, entity, features.
Cite this article : Ravikiran Kalava, G.Anil Kumar, Ch.Vasavi " Feature based Opinion mining - towards Performance Measure " ,ICETTR-2013 ,Page No : 76-79.