• Dr.M.Rajeswari
• S.Hail Evangeline

Movie ratings and reviews at sites such as IMDb are commonly used by moviegoers to decide which movie to watch or buy next. Currently, viewers base their decisions as to which movie to watch by looking at the ratings of movies and also reading some of the reviews at IMDb. Moviegoers can then make a choice on which movie to observe next by selecting those movies having emotion maps with certain emotion map patterns desirable for them. Data science has the art of producing and marketing entertainment at levels never before seen. The field of knowledge science also pops up as meaty material during a sort of films that use predictive analysis, machine learning, and AI as central plot themes. Data science is involved in practically every step of the process, and in this project the analysis on ratings under various emotion contents were examined on the basis of audience acceptance towards the movie.

Machine Learning, Emotion Analysis, Data Science, Ratings, Predictive analysis

"ANALYSIS ON MOVIE RATINGS USING SUPERVISED LEARNING ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 4, page no.251-254, April-2021, Available :http://www.jetir.org/papers/JETIRER06059.pdf

"ANALYSIS ON MOVIE RATINGS USING SUPERVISED LEARNING ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 4, page no. pp251-254, April-2021, Available at : http://www.jetir.org/papers/JETIRER06059.pdf