Sentiment Analysis on Movie Reviews: A Comparative Study of Machine Learning Algorithms and Open Source Technologies
Bhogireddy Narendra, K. Uday Sai, G. Rajesh, K. Hemanth, M. V. Chaitanya Teja, K.TULASI KRISHNA KUMAR · International Journal of Intelligent Systems and Applications · 2016
Social Net works such as Facebook, Twitter, Linked In etc… are rich in opinion data and thus Sentiment Analysis has gained a great attention due to the abundance of this ever growing opinion data.In this research paper our target set is movie reviews.There are diverge range of mechanis ms to express their data which may be either subjective, objective o r a mixture of both.Besides the data collected fro m World W ide Web consists of lot of noisy data.It is very much true that we are going to apply some pre-processing techniques and compare the accuracy using Machine Learning algorith m Naï ve Bayes Classifier.W ith ever growing demand to mine the Big Data the open source software technologies such as Hadoop using map reducing paradig m has gained a lot of prag matic importance.Th is paper illustrates a comparitive study of sentiment analysis of movie reviews using Naï ve Bayes Classifier and Apache Hadoop in order to calculate the perfo rmance of the algorith ms and show that Map Reduce paradig m of Apache Hadoop performed better than Naï ve Bayes Classifier.