LDA topic modeling for Dr. Strange 2022
Version 1.0.1 (10.2 KB) by Victor Mwandila
An LDA topic modeling of movie reviews of the marvel's latest hit, Dr. Strange.
Updated 22 May 2022
Marvel recently realsed their new super hero movie, Dr. Strange. I wanted to have some insight about the movie before watching in the cinema. This I could do by reading some reviews from the internet but with that I would risk finding spoilers. To make sure that I do not spoil the surprise, I used LDA topic modeling to investigate what topics are being discussed in a collection of the movie reviews. I went on rotten tomatoes, which is one of the best platforms for movie review. I copied several reviews writen by the top critics on the platform. This data I saved in a csv file and use LDA topic model to represent the topics. I represented my result in a word cloud which can be seen in the files I have uploaded. It seemed to me that the critics have discussed 2 main topics; 1. The theme of the movie and 2. The details of its production. For me, the coast is clear! and I am now able to read the reviews without fear of finding any spoilers.
Victor Mwandila (2023). LDA topic modeling for Dr. Strange 2022 (https://www.mathworks.com/matlabcentral/fileexchange/112045-lda-topic-modeling-for-dr-strange-2022), MATLAB Central File Exchange. Retrieved .
MATLAB Release Compatibility
Created with R2022a
Compatible with any release
Platform CompatibilityWindows macOS Linux
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