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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.

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Updated 22 May 2022

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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.

Cite As

Victor Mwandila (2022). 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 Compatibility
Windows macOS Linux

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