https://github.com/geekalexis/movie-review-sentiment-analysis

Sentiment analysis on movies reviews based on Naive Bayes
https://github.com/geekalexis/movie-review-sentiment-analysis

bayesian-inference machine-learning naive-bayes nlp sentiment-analysis statistical-models

Last synced: 2 months ago
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Sentiment analysis on movies reviews based on Naive Bayes

• Host: GitHub
• URL: https://github.com/geekalexis/movie-review-sentiment-analysis
• Owner: GeekAlexis
• Created: 2019-03-26T06:16:40.000Z (about 6 years ago)
• Default Branch: master
• Last Pushed: 2020-11-12T06:00:15.000Z (over 4 years ago)
• Last Synced: 2025-01-12T17:28:08.987Z (4 months ago)
• Topics: bayesian-inference, machine-learning, naive-bayes, nlp, sentiment-analysis, statistical-models
• Language: Python
• Homepage:
• Size: 6.49 MB
• Stars: 1
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Movie-Review-Sentiment-Analysis

A simple supervised learning classifier that predicts whether a movie review is positive or negative. 

## Description

This repo implements all algorithms from scratch without using scikit-learn. Term frequency–inverse document frequency (TF-IDF) and bag-of-words features are both supported. Training is optimized to run within 10 seconds.

Includes statistical models of two flavors:

| Model | Test accuracy |

|:-------:|:-------:|

| Gaussian Naive Bayes | 69% |

| Multinomial Naive Bayes | 81%  |