• KHUSHI MEHTA
• RIYA PATEL
• HELI PARIKH
• NEEL PATEL
• SEJAL THAKKAR

IMDb is a well-known database for movies, video games, internet streaming content, and series. One is given access to sources and reviews of the particular film they are looking for, as well as the choice of whether or not they want to write their own. After analyzing all the comments and categorizing them based on positive and negative views, classification models are used to predict the sentiment of all the positive or negative assessments. This helps provide the vast datasets for the implementation of sentiment analysis on IMDb. The primary goal is to provide the best practicable review based on the reviews and to make the appropriate approximations. The models are trained for several classifiers using a combination of unique text values and sentiment analysis is conducted.

Sentiment Analysis, Machine learning, Lexicons, Polarity, Sentiments, Social Media

"Sentimental Analysis: A Survey On Different Approaches", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 8, page no.c470-c474, August-2022, Available :http://www.jetir.org/papers/JETIR2208251.pdf

"Sentimental Analysis: A Survey On Different Approaches", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 8, page no. ppc470-c474, August-2022, Available at : http://www.jetir.org/papers/JETIR2208251.pdf