Comparison of Various Classifiers for Movie Data
Shreya Arora, Tushar Bhatia, Stuti Rastogi, Vijay Kumar Sharma · 2021 3rd International Conference on Advances in Computing, Communication Control and Networking (ICAC3N) · 2021
Sentimental analysis is a subset of opinion mining where we study the emotion/feeling/opinion of the sentence of the people about specific matters from structured,. In this, we try to analyze on IMDB movie review dataset. we inspect the sentiment manner to classify the polarity of the movie review on a range of 0 to 1 i.e. 0 beings (highly disliked) to 1(highly liked) by excluding the stop word. Since human opinion amplifies the coherence of a product, the overall performance of a movie depends on how people react to it which would be in the form of reviews. Due to the variety of sentiments available in the movie scripts we choose this as our dataset, the term "emotional charge'' is best suitable for the movies as they tend to emotionally charge a person’s mindset. Though we didn’t take a large dataset to define the purpose it best suited the agenda to compare a variety of algorithms.