Research Article
Asian Journal of Engineering, Sciences and Technology - Volume 7, Issue 2 2017
By Muhammad Rizwan Rashid Rana, Muhammad Aun Akbar, Tauqeer Ahmad
Keywords: Machine Learning; Nave Bayes classifier; Parts of speech (POS) tagging; sentiment classification

Sentiment Classification is the process of exploring sentiments, emotions, opinions and facts in the sentences which are expressed by the people. Machine learning techniques and Lexicon based techniques are mostly used in sentiment classification to predicate sentiments from customers reviews and comments. In this paper, we aim to classify movie reviews in positive and negative classes by using Naive Bayes classifier (Machine Learning algorithm). Experimental results shows that accuracy of Naive Bayes classifier on large movie reviews dataset is 86.8%.