A Hybrid Methodology for Telugu Sentiment Analysis

Abstract

Sentiment Analysis is a subset of Natural Language Processing which is employed in wide range of business verticals to disentangle, analyze, distinguish and comprehend the general opinion of user reviews. This paper illustrates methodical approach which leverages lexicon-based approach and machine learning in the field of sentiment analysis to classify the opinions in Telugu language. Firstly, by employing Lexicon based approach - Telugu SentiWordNet identified the subjective sentences from the Telugu corpus. Secondly, by utilizing machine learning algorithms – SVM, Naïve Bayes and Random Forest we categorized the sentiment in the corpus. Our proposed methodology achieved highest accuracy of 85%