https://github.com/sameer6690/sexism_detection

This project focuses on the classification of sexist and non-sexist language using three machine learning models. The models are Logistic Regression, Support Vector Machine (SVM) and Neural Network which were used after performing preprocessing and feature extraction of the dataset.
https://github.com/sameer6690/sexism_detection

datapreprocessing machine-learning-algorithms python

Last synced: 11 months ago
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This project focuses on the classification of sexist and non-sexist language using three machine learning models. The models are Logistic Regression, Support Vector Machine (SVM) and Neural Network which were used after performing preprocessing and feature extraction of the dataset.

• Host: GitHub
• URL: https://github.com/sameer6690/sexism_detection
• Owner: Sameer6690
• Created: 2025-02-18T04:02:04.000Z (11 months ago)
• Default Branch: main
• Last Pushed: 2025-02-18T04:16:04.000Z (11 months ago)
• Last Synced: 2025-02-18T05:24:13.436Z (11 months ago)
• Topics: datapreprocessing, machine-learning-algorithms, python
• Language: Jupyter Notebook
• Homepage:
• Size: 1.4 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Sexism_Detection