https://github.com/vinayakdon/machine-learning-project-sentimental-classifier-

A sentiment classification tool using machine learning in Python to analyze and predict the sentiment of text data. Features preprocessing, model training, hyperparameter tuning, and evaluation for accurate sentiment analysis.
https://github.com/vinayakdon/machine-learning-project-sentimental-classifier-

dataprocessing python training-data

Last synced: about 1 month ago
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A sentiment classification tool using machine learning in Python to analyze and predict the sentiment of text data. Features preprocessing, model training, hyperparameter tuning, and evaluation for accurate sentiment analysis.

• Host: GitHub
• URL: https://github.com/vinayakdon/machine-learning-project-sentimental-classifier-
• Owner: vinayakdon
• Created: 2024-07-31T07:59:25.000Z (5 months ago)
• Default Branch: main
• Last Pushed: 2024-09-17T07:24:06.000Z (4 months ago)
• Last Synced: 2024-09-17T10:03:16.431Z (4 months ago)
• Topics: dataprocessing, python, training-data
• Language: Jupyter Notebook
• Homepage: https://github.com/vinayakdon/Machine-Learning-project-Sentimental-classifier-/blob/fa6ca2e744716d63514a04d8098e15c73960f357/Sentiment_classifier.ipynb
• Size: 13.7 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Machine-Learning-project-Sentimental-classifier-

A sentiment classification tool using machine learning in Python to analyze and predict the sentiment of text data. Features preprocessing, model training, hyperparameter tuning, and evaluation for accurate sentiment analysis.

## sklearn

Data & Code associated with sci-kit learn machine learning library in python

Tutorial.ipynb is the file that I worked on during the video.

Data directory contains several files of 1000+ amazon reviews across different departments. If you want the raw data that I created these files from, check out here: http://jmcauley.ucsd.edu/data/amazon/