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Movie Rating Prediction and Viewers’ Sentiment Trend Analysis Using YouTube Trailer Comments by Sandipan Sahu; Raghvendra Kumar; Pathan Mohd Shafi is a book available to read on EtoBox.

What is Movie Rating Prediction and Viewers’ Sentiment Trend Analysis Using YouTube Trailer Comments about?

Movie is one of the biggest industries in the world. It is one of the mainstream entertainment media. However, recent studies say only a few movies succeeded or satisfied viewers. Movie makers are desperate to know the viewers' reactions and sentiments to the movie. Maximum of the previous research works ware on movie hit prediction. Significantly, few works accurately predict the IMDb rating of an upcoming movie. Very few works analyse the viewers' sentiment before and after the movie's release. In our research work, we extract the YouTube comments of 80 selected movies. Then, we analyse the sentiment of each review comment using the VADER lexicon. Next, compute the overall sentiment and predict the IMDb rating of each movie. In the second part of our work, we investigate the viewers' sentiment trends pre-and post-release of the movie. We have achieved 0.4702 mean square error and 0.519 is R2-score. Our observed results proved that the forecasted rating of pre-released movies had the lowest error. Our analysis helps to support industry decisions.

Author

Sandipan Sahu; Raghvendra Kumar; Pathan Mohd Shafi

Publisher

SPRINGER VERLAG, SINGAPOR

Published

2023

Language

EN

ISBN

9789811995118

Subjects

Engineering, Computer Science, Stem