https://github.com/x4nth055/sentiment_analysis_naive_bayes

Implementing Naive Bayes Machine Learning algorithm to predict sentiment from reviews.
https://github.com/x4nth055/sentiment_analysis_naive_bayes

naive-bayes-classifier naive-bayes-text-classification python sentiment-analysis sentiment-classification

Last synced: about 1 month ago
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Implementing Naive Bayes Machine Learning algorithm to predict sentiment from reviews.

• Host: GitHub
• URL: https://github.com/x4nth055/sentiment_analysis_naive_bayes
• Owner: x4nth055
• License: mit
• Created: 2019-04-07T15:37:02.000Z (about 6 years ago)
• Default Branch: master
• Last Pushed: 2019-04-07T15:43:13.000Z (about 6 years ago)
• Last Synced: 2024-10-13T13:06:53.697Z (6 months ago)
• Topics: naive-bayes-classifier, naive-bayes-text-classification, python, sentiment-analysis, sentiment-classification
• Language: Python
• Size: 12.8 MB
• Stars: 5
• Watchers: 2
• Forks: 4
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Description

Sentiment analysis is a text classification problem.

Using Multinomial Naive Bayes approach, It is able to classify negative/positive reviews from movie reviews corpus. 

# Requirments

- scikit-learn 0.20.2

```

pip3 install -r requirements.txt

```

# Train

```

python train.py

```

# Test

```

python test.py

```

# Result

Here are the 4 metric scores after training:

```

Accuracy: 84.88%

Precision:87.36%

Recall:   81.31%

F1_SCORE: 84.23%

```