https://github.com/tjpavii0809/sentimental-analysis---logistic-regression-in-a-violent-nature-

Sentimental analysis for movie reviews for movie "in A Violent Nature"
https://github.com/tjpavii0809/sentimental-analysis---logistic-regression-in-a-violent-nature-

data-visualization logistic-regression machine-learning-algorithms natural-language-processing scikit-learn sentiment-analysis

Last synced: about 3 hours ago
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Sentimental analysis for movie reviews for movie "in A Violent Nature"

• Host: GitHub
• URL: https://github.com/tjpavii0809/sentimental-analysis---logistic-regression-in-a-violent-nature-
• Owner: tjpavii0809
• Created: 2024-07-15T11:22:57.000Z (4 months ago)
• Default Branch: main
• Last Pushed: 2024-09-14T05:24:09.000Z (2 months ago)
• Last Synced: 2024-09-15T03:56:35.387Z (2 months ago)
• Topics: data-visualization, logistic-regression, machine-learning-algorithms, natural-language-processing, scikit-learn, sentiment-analysis
• Language: Jupyter Notebook
• Homepage:
• Size: 4.17 MB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
HOPE YOU ALL ENJOYED THE MOVIE!!:

This dataset "in A Violent Nature" contains comments and ratings in IMBD platform by viewers.

The aim of this dataset is to perform sentimental analysis with the help of Natural Language Processing libraries and Machine Learning algorithm.

Based on the ratings, we can pre- classify that the ratings above 7-9 stars is considered as positive, below 1-3 stars as negative and the remaining as neutral comments.

The aim of this dataset is to purely understand the concepts of sentimental analysis by using Logistic Regression.