SENTIMENT CLASSIFICATION OF MOVIE REVIEWS BY SUPERVISED MACHINE LEARNING APPROACHES
Journal Title: Indian Journal of Computer Science and Engineering - Year 2013, Vol 4, Issue 4
Abstract
Large volumes of data are available in the web. The discussion forum, review sites, blogs and news corpora are some of the opinion rich resources. The opinions obtained from those can be classified and used for gathering online customer’s preferences. Techniques are being applied to design a system that identifies and classify opinions spread largely in the internet. Few different problems such as sentiment classification, feature based classification and handling negotiations are predominating this research community. This paper studies online movie reviews using sentiment analysising approaches. In this study, sentiment classification techniques were applied to movie reviews. Specifically, we compared three supervised machine learning approaches SVM, Navie Bayes and kNN for Sentiment Classification of Reviews. Empirical results states that SVM approach outperformed the Navie Bayes and kNN approaches, and the training dataset had a large number of reviews, SVM approach reached accuracies of atleast 80%.
Authors and Affiliations
P. Kalaivani , Dr. K. L. Shunmuganathan
Keywords
Related Articles
- EP ID EP98799
- DOI -
- Views 128
- Downloads 0
Road network analysis in Neyveli Township, Cuddalore District by using Quantum GIS
The entire road network is captured by using the open layers plugin. The road network was digitized by using Quantum GIS and analysis is carried out by using Road graph plugin analysis. This study is carried out with an...
APPLICATION OF ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM IN INTEREST RATES EFFECTS ON STOCK RETURNS
In the current study we examine the effects of interest rate changes on common stock returns of Greek banking sector. We examine the Generalized Autoregressive eteroskedasticity (GARCH) process and an Adaptive Neuro-Fuz...
Microcontroller Based Data Acquisition System For Electrical Motor Vibrations using VB software.
The electrical machine parameters under various operating conditions play a vital role in the considerations for the performance, efficiency, reliability and life of machine. Vibration signals measured at the external su...
VERIFICATION OF BEHAVIOR PRESERVATION IN UML SEQUENCE DIAGRAMS USING GRAPH MODELS
The verification of model transformations is gaining significant attention recent years. This paper presents an approach for verifying the behavioral preservance property of UML behavioral models that have been subjected...