https://github.com/lovesaroha/movie-reviews-sentiment-analysis

Sentiment analysis is the use of natural language processing, text analysis, computational linguistics, and biometrics to systematically identify, extract, quantify, and study affective states and subjective information.
https://github.com/lovesaroha/movie-reviews-sentiment-analysis

javascript machine-learning movie-reviews sentiment-analysis tensorflow

Last synced: 3 months ago
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Sentiment analysis is the use of natural language processing, text analysis, computational linguistics, and biometrics to systematically identify, extract, quantify, and study affective states and subjective information.

• Host: GitHub
• URL: https://github.com/lovesaroha/movie-reviews-sentiment-analysis
• Owner: lovesaroha
• License: gpl-3.0
• Created: 2021-09-24T17:56:31.000Z (about 4 years ago)
• Default Branch: main
• Last Pushed: 2021-10-02T06:46:51.000Z (about 4 years ago)
• Last Synced: 2025-03-02T06:47:55.694Z (7 months ago)
• Topics: javascript, machine-learning, movie-reviews, sentiment-analysis, tensorflow
• Language: CSS
• Homepage: https://ml.lovesaroha.com/Movie-Reviews-Sentiment-Analysis
• Size: 1.34 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Movie-Reviews-Sentiment-Analysis

Sentiment analysis is the use of natural language processing, text analysis, computational linguistics, and biometrics to systematically identify, extract, quantify, and study affective states and subjective information.
 Trained model files [lovesaroha/Trained-Models/Movie-Reviews-Sentiment-Analysis-Model](https://github.com/lovesaroha/Trained-Models/tree/main/Movie-Reviews-Sentiment-Analysis-Model)


Demo [lovesaroha/Movie-Reviews-Sentiment-Analysis](https://ml.lovesaroha.com/Movie-Reviews-Sentiment-Analysis)

![image](https://raw.githubusercontent.com/lovesaroha/gimages/main/64.png)

## Positive Review Example

![image](https://raw.githubusercontent.com/lovesaroha/gimages/main/65.png)

## Negative Review Example

![image](https://raw.githubusercontent.com/lovesaroha/gimages/main/66.png)

## Mixed Review Example

![image](https://raw.githubusercontent.com/lovesaroha/gimages/main/67.png)