AJAX-Movie-Recommendation-System-with-Sentiment-Analysis

A content-based recommender system that recommends movies similar to the movie the user likes and analyses the sentiments of the reviews given by the user

api nlp

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607 Stars

470 Forks

607 Watchers

Jupyter Notebook Language

100 SrcLog Score

Cost to Build

$6.5K

Market Value

$20.7K

How is this calculated?

Growth over time

13 data points · 2021-05-01 → 2026-04-01

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What is the kishan0725/AJAX-Movie-Recommendation-System-with-Sentiment-Analysis GitHub project? Description: "A content-based recommender system that recommends movies similar to the movie the user likes and analyses the sentiments of the reviews given by the user". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

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How to clone AJAX-Movie-Recommendation-System-with-Sentiment-Analysis

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git clone https://github.com/kishan0725/AJAX-Movie-Recommendation-System-with-Sentiment-Analysis.git

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[email protected]:kishan0725/AJAX-Movie-Recommendation-System-with-Sentiment-Analysis.git

Download ZIP

Download master.zip

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