https://github.com/abdulsamie10/hateoffensivetweetsdetection

This repository contain the code of HateOffensiveTweetsDetection using SVM, Naive Bayes, and Logistic Regression.
https://github.com/abdulsamie10/hateoffensivetweetsdetection

dataset hate-speech-detection hate-tweets hatespeech logistic-regression naive-bayes naive-bayes-classifier python python3 svm tweet-analysis

Last synced: about 8 hours ago
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This repository contain the code of HateOffensiveTweetsDetection using SVM, Naive Bayes, and Logistic Regression.

• Host: GitHub
• URL: https://github.com/abdulsamie10/hateoffensivetweetsdetection
• Owner: abdulsamie10
• Created: 2023-01-09T07:07:03.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2023-01-11T18:13:31.000Z (almost 2 years ago)
• Last Synced: 2024-04-28T04:56:19.223Z (6 months ago)
• Topics: dataset, hate-speech-detection, hate-tweets, hatespeech, logistic-regression, naive-bayes, naive-bayes-classifier, python, python3, svm, tweet-analysis
• Language: Jupyter Notebook
• Homepage:
• Size: 1010 KB
• Stars: 0
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# HateOffensiveTweetsDetection

This repository contain the code of HateOffensiveTweetsDetection using SVM, Naive Bayes, and Logistic Regression. And found out which model is the best.

# Dataset

Use labeled_data.csv as dataset.

# Import and Run

Just import the code from the notebook and run simply it's gonna work at any cost.

If you have come this far, I appreciate it.