Polarity Determinationof Movie Reviews: A Systematic Literature Review

  • Shashank Shekhar Sharma PhD Scholar, Indian Institute of Foreign Trade
  • Gautam Dutta IIFT Bhawan, B-21, NRPC Colony, Block B, Qutab Institutional Area, New Delhi, Delhi 110016
Keywords: Polarity determination; sentiment analysis; movie reviews; natural language processing; literature review

Abstract

Sentiment Analysis has been shown to be extremely sensitive to the domain of interest. Methods, algorithms and lexicons need to be customized for specific domains to ensure robust performance for sentiment analysis tasks like classification of reviews into positive or negative. Over the past decade and a half, several important works have been published using various feature selection and classification methods for polarity determination of movie reviews. These studies use a diverse mix of feature engineering methods to select the features and have tested them with different algorithms to determine to polarity of the reviews. Some of selected research studies have been able to determine polarity with accuracies ranging from 85% to 90%. Models illustrated in these research papers have been helpful in making accurate estimation of how well a particular movie is received by the audience. This is a systematic review of these studies where overview, analysis and comparison of the feature selection and classification methods used in the domain of movie reviews have been presented.

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Published
2018-12-27
Section
Articles