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 Conference Papers 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/. Title A name given to the resource Implementation of Movie Recommendation System Using Hybrid Filtering Methods and Sentiment Analysis of Movie Reviews Subject The topic of the resource content based filtering; cosine similarity; count vectorizer; demographic filtering; movie metadata; movie reviews; natural language processing; recommendation system; sentiment analysis Description An account of the resource In present era of digitization of entertainment, immense volume of movies are produced, which results in the necessity of sophisticated recommendation systems. In the streaming platform these systems empower users to discover new and relevant movies, benefiting both viewers and the entertainment industry. This research paper offers a comprehensive method for incorporating movie review sentiment analysis into a hybrid recommendation system. The study focuses on 4890 movies using a broad dataset containing the detailed descriptions of the movies along with the reviews. To employ the demographic filtering, the popularity score of the movies were calculated, then to apply the collaborative filtering, the textual movie descriptions were vectorized using the countvectorizer method. To predict the sentiment of the movie reviews, the high accuracy model "ControX/Sen1"was used. This hybrid recommendation system ranked the movies based on the user's preferences by employing cosine similarity, the sorted list was further filtered with the positive sentiment reviews. By including sentiment analysis, this research advances sophisticated movie recommendation systems by providing a comprehensive method for addressing user preferences and emotional resonance in film selections. 2024 IEEE. Creator An entity primarily responsible for making the resource Naskar I.; Joseph N.P. Source A related resource from which the described resource is derived Proceedings of ICWITE 2024: IEEE International Conference for Women in Innovation, Technology and Entrepreneurship, pp. 513-518. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICWITE59797.2024.10502695" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICWITE59797.2024.10502695</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85192528346&amp;doi=10.1109%2FICWITE59797.2024.10502695&amp;partnerID=40&amp;md5=953c39083ea5053b894114f1c69152e1" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85192528346&amp;doi=10.1109%2fICWITE59797.2024.10502695&amp;partnerID=40&amp;md5=953c39083ea5053b894114f1c69152e1</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835038328-7 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Naskar I., Christ (Deemed to Be University), Department of Statistics and Data Science, Karnataka, Bengaluru, India; Joseph N.P., Christ (Deemed to Be University), Department of Statistics and Data Science, Karnataka, Bengaluru, India