Title: Lexicon-based sentiment analysis on movie review in the Gujarati language

Authors: Parita Shah; Priya Swaminarayan

Addresses: Faculty of Engineering and Technology, Parul University, Vadodara, Gujarat, India; Gandhinagar Institute of Technology, Khatraj-Kalol Road, Moti Bhoyan, Gandhinagar District, Kalol, Gujarat, India ' Faculty of IT and CS, Parul University, Vadodara, Gujarat, India

Abstract: Film assessment helps watchers with choosing if the film merits their time. A rundown of all surveys for a film can help watchers to make a suitable selection without the wastage of users' time by considering all checks. For the assistant of viewers, cinema review pages are available with film critics offered by various cinema experts. Sentiment examination can decide the mentality of experts relying upon their audits. The process of film review categorisation into positive and negative grade is called movie review sentiment analysis. Therefore, this paper presents our exploratory work on execution assessment of the SentiWordNet approach for record level estimation characterisation of movie surveys available in the Gujarati language. The paper additionally presents an evaluative record of the execution of the resource-based film sentiment classification using the GujaratiSentiWordNet (BagofWords) technique for the movie review dataset created in the Gujarati language.

Keywords: GujaratiSentimentWordNet; Hindi SentiWordNet; IndoWordNet; Gujarati dataset; sentiment analysis; natural language processing; lexicon-based.

DOI: 10.1504/IJITCC.2021.119111

International Journal of Information Technology, Communications and Convergence, 2021 Vol.4 No.1, pp.63 - 72

Received: 22 Jan 2021
Accepted: 25 Aug 2021
Published online: 22 Nov 2021 *

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