Prediction of Appraisal Groups for Movie Review Analysis

Nihalahmad R. Shikalgar, Dr. Arati M. Dixit

Abstract: Classification of movie reviews is very tedious task. However sentiment analysis of movie reviews is based on positive or negative orientation. Orientation is also concern with that types of movie like action; thriller; romantic; comedy. We propose a new approach for movie reviews classification based on extracting and analyzing appraisal groups such as action; thrill; and comedy; romantic. An appraisal group is represented as a set of attribute values in several task independent semantic taxonomies; based on appraisal theory. We classify movie reviews based on these appraisal groups. In addition; we find that; which types of movies is released in market.

Keywords: Opinion Mining, Sentiment Analysis, Text Classification, Shallow Parsing, Review Classification, Appraisal Theory

How to Cite?: Nihalahmad R. Shikalgar, Dr. Arati M. Dixit, "Prediction of Appraisal Groups for Movie Review Analysis", Volume 3 Issue 6, June 2014, International Journal of Science and Research (IJSR), Pages: 2291-2294, https://www.ijsr.net/getabstract.php?paperid=2014664, DOI: https://dx.doi.org/10.21275/2014664