Sentiment Analysis on Movie Reviews Based on Combined Approach
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 172 | Views: 344

Research Proposals or Synopsis | Computer Science & Engineering | India | Volume 3 Issue 7, July 2014 | Popularity: 6.7 / 10


     

Sentiment Analysis on Movie Reviews Based on Combined Approach

Anurag Mulkalwar, Kavita Kelkar


Abstract: Sentiment Analysis is one of the most important area of concern towards classifying sentiments from any given textual information. Sentiment analysis can be performed on textual data by using various machine learning methods like supervised learning or unsupervised learning. But no any individual method is sufficient to classify sentiments with that much precision. In this paper we are going to propose new approach to perform sentiment analysis on movie review called as Combined Approach. It uses two separate classifier Support Vector Machine (SVM) and Hidden Markov Model (HMM). Then it combines results of these classifier using classifier combine rule.


Keywords: Sentiment Analysis, Combined Approach, HMM, SVM


Edition: Volume 3 Issue 7, July 2014


Pages: 1739 - 1742



Please Disable the Pop-Up Blocker of Web Browser

Verification Code will appear in 2 Seconds ... Wait



Text copied to Clipboard!
Anurag Mulkalwar, Kavita Kelkar, "Sentiment Analysis on Movie Reviews Based on Combined Approach ", International Journal of Science and Research (IJSR), Volume 3 Issue 7, July 2014, pp. 1739-1742, https://www.ijsr.net/getabstract.php?paperid=201413361, DOI: https://www.doi.org/10.21275/201413361

Top