https://github.com/shakilgithub20/news-classification

https://github.com/shakilgithub20/news-classification

naivebayes nltk-library nltk-python preprocessing preprocessing-data sklearn svm-kernel svm-model

Last synced: 5 days ago
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• Host: GitHub
• URL: https://github.com/shakilgithub20/news-classification
• Owner: Shakilgithub20
• Created: 2021-08-11T15:32:09.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2021-09-19T16:23:32.000Z (about 3 years ago)
• Last Synced: 2024-10-11T11:29:48.630Z (about 1 month ago)
• Topics: naivebayes, nltk-library, nltk-python, preprocessing, preprocessing-data, sklearn, svm-kernel, svm-model
• Language: Jupyter Notebook
• Homepage:
• Size: 11 MB
• Stars: 3
• Watchers: 1
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Changelog: News_Classification-data_set/CLASS.txt

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README

        
# News-Classification Project

Classify news into categories based on their headline.

Various classifiers were tried - Decision Tree, Support Vector Classifier, Multinomial Naive Bayesian Classifier, Multilayered Perceptron, Random Forest. Multinomial Naive Bayesian Classifier worked the best. It is logical for Multinomial Naive Bayesian to work the best as even we as humans classify based on keywords.

# Installation

Using Google Colab.