International Journal For Multidisciplinary Research
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 5 Issue 6
Predicting the Success of a Movie using Machine Learning Algorithms: An Analysis
|Abstract||Machine learning has been an integral part of reshaping the movie industry, and this paper delves into its transformative role. We examine the utilization of machine learning models, including Linear Regression, Decision Trees, and Random Forests, in analyzing data from IMDB's top-rated movies. The results of our analysis demonstrate that Random Forests achieve a remarkable 74% accuracy rate in predicting IMDB ratings. This paper serves as a comprehensive exploration of machine learning's profound impact on the movie industry, emphasizing its transformative role in content creation, production, and audience engagement. It underscores the enormous potential of machine learning in revolutionizing the movie industry, while also paving the way for the integration of Natural Language Processing (NLP) to enhance movie success predictions, propelling innovation within AI-driven cinematic endeavors. In conclusion, this research highlights the pivotal role of machine learning in the film industry, underscoring its ability to elevate the quality of content and engage audiences more effectively, while anticipating a future where technology and creativity harmonize to create unique and captivating cinematic experiences.|
|Keywords||Machine Learning, Movies, Predictions, Data-Driven Decision Making|
|Published In||Volume 5, Issue 6, November-December 2023|
|Cite This||Predicting the Success of a Movie using Machine Learning Algorithms: An Analysis - Ahaan Anand - IJFMR Volume 5, Issue 6, November-December 2023. DOI 10.36948/ijfmr.2023.v05i06.8653|
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