Evaluating Sentiment Classification Models for Bollywood Movies
Bollywood; Gradient boosting machines; Movie reviews; Random forest model; Sentiment analysis; Sentiment classification
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.
Kunnumpurath, Biju; Reddy, Baddala Govardhan; Menon, Vishnu Achutha; Paul, Ajith
Lecture Notes in Networks and Systems;Volume;1275;pp.161-169
Springer Science and Business Media Deutschland GmbH
Restricted Access; Hardcopy may be available in the library
https://doi.org/10.1007/978-981-96-2694-6_11 https://www.scopus.com/pages/publications/105007225467?origin=resultslist
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