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 Movie Success Prediction from Movie Trailer Engagement and Sentiment Analysis Subject The topic of the resource E-word of mouth; Machine learning; Movie trailer engagement; Predictive analysis; Sentiment analysis; Web scraping Description An account of the resource The diverse movie industry faces many challenges in the promotion of the product across different demographics. Movie trailer engagements provide valuable information about how the audience perceives the movie. This information can be used to predict the success of the upcoming movie before it gets released. The previous research works were mainly concentrating on Hindi language movies to predict success. The current research paper includes the success prediction of movies other than Hindi. This paper aims to analyze various Machine Learning models performance and select the best performing model to predict movie success. The developed model can efficiently classify successful and unsuccessful movies. For the current research, the data is collected from various sources through web scrapping and API calls in Sacnilk, The Movie Database (TMDB), YouTube, and Twitter. Different machine learning classification models such as Random Forest, Logistic Regression, KNN, and Gaussian Nae Bayes are tested to develop the best-performing prediction model. This research can help moviemakers to understand the popularity of the movie among the viewers and decide on an efficient promotional strategy to make the movie more successful. 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Emmanuvel A.; Bhagat V.; Jacob L. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-290, pp. 385-393. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-16-4486-3_43" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-16-4486-3_43</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115066627&amp;doi=10.1007%2F978-981-16-4486-3_43&amp;partnerID=40&amp;md5=ac10d17a8f90f79956273f21fcdcb878" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115066627&amp;doi=10.1007%2f978-981-16-4486-3_43&amp;partnerID=40&amp;md5=ac10d17a8f90f79956273f21fcdcb878</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-981164485-6 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 Emmanuvel A., CHRIST (Deemed to be University), Lavasa, Pune, India; Bhagat V., CHRIST (Deemed to be University), Lavasa, Pune, India; Jacob L., CHRIST (Deemed to be University), Lavasa, Pune, India