Movie-Sentiment-Analysis-App

Movie-Sentiment-Analysis-App

rohanmistry231

Description A Python-based web application for analyzing sentiment in movie reviews using NLP techniques and machine learning models. Built with Flask and libraries like NLTK or TextBlob, it provides a user-friendly interface for sentiment classification.

9 Stars
1 Forks
9 Watchers
Jupyter Notebook Language
mit License
86 SrcLog Score
Cost to Build
$116.8K
Market Value
$135.2K

Growth over time

3 data points  ·  2026-04-09 → 2026-04-24
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What is the rohanmistry231/Movie-Sentiment-Analysis-App GitHub project? Description: "Description A Python-based web application for analyzing sentiment in movie reviews using NLP techniques and machine learning models. Built with Flask and libraries like NLTK or TextBlob, it provides a user-friendly interface for sentiment classification.". 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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git clone https://github.com/rohanmistry231/Movie-Sentiment-Analysis-App.git

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[email protected]:rohanmistry231/Movie-Sentiment-Analysis-App.git

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Download master.zip

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