Identifying the approach to movie reviews using natural language processing
David Simmonds, A. Chowdhury · AIP conference proceedings · 2022
Everyday viewers now use social media platforms to express opinions on movies. Therefore if someone wants to watch a movie, he can now leverage thousands of reviews including ratings and comments on websites such as Rotten Tomatoes and IMDb. Comments are valuable if reviewer and reader have common focus in their viewing habits. In this paper, we examine whether users can intuit the focus of movie reviews in 6 dimensions: Human interest, Recommendations given, Extremity, Technicality, Comparativeness and Plot Summary. We find strong evidence to suggest that viewers can indeed connect with reviewers in some of these dimensions. We contribute to the literature by offering another way to approach movie review categorization by using Natural Language Processing (NLP).