Sentiment Analysis of English Literature using Rasa-Oriented Semantic Ontology

Abstract

Objectives: Sentiment Analysis analyses people’s opinion, sentiments, attitudes and emotions towards entities such as products, services, literature and their attributes. Since literature has got an exponential growth in digital format recently, it will help the readers to choose the genre according to their interest as well. Methods/Statistical Analysis: Finding and monitoring such opinions present in the Internet and filtering the required information is a formidable task for an average reader because of the huge amount of data available online. In such difficult situations, Sentimental Analysis can play a big role in helping the user. In this study, the sentiment analysis of a literary work is done using ontology of ‘Navarasa’. Findings: This study does, for the first time, the sentiment analysis of a short story using the ‘Navarasa’ ontology created by the researcher. The sentiment polarity of the work could be derived with a better accuracy using the emotion lexicons generated. Application/Improvements: Thus this paper provides a novel method of sentiment analysis of English literature and throws light on new avenues for future research work in this domain.