Evaluating Sentiment Classification Models for Bollywood Movies

Title

Evaluating Sentiment Classification Models for Bollywood Movies

Creator

Kunnumpurath, Biju; Reddy, Baddala Govardhan; Menon, Vishnu Achutha; Paul, Ajith

Description

The rise in popularity of Bollywood cinema, fueled by streaming services such as Netflix and Amazon Prime, has increased the global availability of Hindi-language films. This study investigates the sentiment analysis of Bollywood movie reviews using a dataset of 1,698 movies released between 2005 and 2017. The research examines three main dimensions: confusion matrix, evaluation metric, and random forest model. The results highlight the model's ability to accurately predict emotions, especially when detecting neutral and positive emotions. Challenges in identifying negative emotions persist. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

Source

Lecture Notes in Networks and Systems;Volume;1275;pp.161-169

Date

01-01-2025

Publisher

Springer Science and Business Media Deutschland GmbH

Subject

Bollywood; Gradient boosting machines; Movie reviews; Random forest model; Sentiment analysis; Sentiment classification

Coverage

Kunnumpurath B., Christ University, Bengaluru, India; Reddy B.G., Christ University, Bengaluru, India; Menon V.A., Institute for Educational and Developmental Studies, Uttar Pradesh, Gautambuddha Nagar, India; Paul A., Christ University, Bengaluru, India

Rights

Restricted Access; Hardcopy may be available in the library

Relation

ISSN: 23673370; ISBN: 978-981962693-9;

Format

online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1007/978-981-96-2694-6_11

https://www.scopus.com/pages/publications/105007225467?origin=resultslist