Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Kunnumpurath, Biju; Reddy, Baddala Govardhan; Menon, Vishnu Achutha; Paul, Ajith Title A name given to the resource Evaluating Sentiment Classification Models for Bollywood Movies Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems;Volume;1275;pp.161-169 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-96-2694-6_11" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-96-2694-6_11</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105007225467?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105007225467?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant 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 Description An account of the resource 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. Subject The topic of the resource Bollywood; Gradient boosting machines; Movie reviews; Random forest model; Sentiment analysis; Sentiment classification Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Relation A related resource ISSN: 23673370; ISBN: 978-981962693-9; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online