TV POPULARITY SHOW ANALYSIS USING MACHINE LEARNING
HARIHARAN D
, Mrs. V. BAKYALAKSHMI
Television is an ever-evolving, multi-billion-dollar business industry. TV shows are more successful Technological society is a huge formula with multiple variables. art Success is not something that happens, it is studied and Duplicate and apply. Hollywood success is unpredictable, with many movies and sitcoms being hyped and the promise of a hit ended in a box office failure Disappointment. In current research, linguistic exploration describes the relationship with the TV series Appeal to your audience community. Have a decision support system you will need to be able to display reliable and predictable results gives you confidence in investing in new TV series. of the model presented in this study uses data to explore and determine. This article uses the description Predictive modeling techniques for assessing persistence Television comedy successes: office, big bang theory, Arrested Development, Scrubs, and South Park. The factor is tested for statistical significance for episode ratings Character presence, director, and writer. View these stats Characters are very important to the show itself, the creation and direction of the show ratings, and therefore the success of the show. Use the machine learning-based predictive models such as linear regression, K nearest Neighbors, Stochastic Gradient Descent, Decision Trees and Forests, Neural Networks, Facebook Prophet accurately predict the success of your show. The model represents Fundamentals for Understanding TV Show Success How Producers Can Boost Current TV Success Use or use this data when creating future shows. Deadline Many factors that go into the series, empirical analysis this study shows that there is no one-size-fits-all model for prediction. Rating or success of a television program. But, even if your variables are statistically significant, you can optimize them positively affect the rating.
"TV POPULARITY SHOW ANALYSIS USING MACHINE LEARNING", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.8, Issue 3, page no.895 - 899, March-2023, Available :https://ijsdr.org/papers/IJSDR2303144.pdf
Volume 8
Issue 3,
March-2023
Pages : 895 - 899
Paper Reg. ID: IJSDR_204579
Published Paper Id: IJSDR2303144
Downloads: 000347349
Research Area: Science & Technology
Country: KARUR, TAMIL NADU, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
