Main Article Content
This paper investigates the utility of linguistic feature for detecting the sentiments of review messages. We take a supervised approach to the problem and 50,000 movie reviews for building our training data. We investigate an efficient method to build a strong model for extracting the features that contain sentimental information.
How to Cite
, M. C. S. T. (2018). An Efficient Approach of Review Sentiment Analysis. International Journal on Future Revolution in Computer Science &Amp; Communication Engineering, 4(5), 159–161. Retrieved from https://ijfrcsce.org/index.php/ijfrcsce/article/view/1665