International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Analysis of Machine Learning Approaches for Opinion Mining of Movie Reviews

Author : Ramandeep Sharma ¹ Sukhjit Singh Sehra ² Sumeet Kaur Sehra ³

Date of Publication :7th June 2016

Abstract: Opinion Mining plays a vital role in the area of machine learning, data mining, and natural language processing. This paper describes various sentiment analysis techniques, feature extraction processes, and challenges that make the sentiment analysis difficult. The three subtasks are performed for sentiment analysis: text pre-processing, feature extraction and classification. In this paper, three machine learning techniques (Naïve Bayes, Support Vector Machine (SVM) and Decision Tree) are used to classify the movie reviews. The highest accuracy was achieved with SVM classifier using Movie Reviews when unigrams were used as a feature. The Naïve Bayes and SVM obtained 78.70% accuracy with movie reviews dataset using bigrams as a feature.

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