Cyberbullying Classification

Cyberbullying Classification/README.md

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+# Cyberbullying Classification
+
+## Overview
+The goal is to analyze tweets to classify them into categories of cyberbullying and non-cyberbullying using NLP techniques and machine learning models.
+
+## Dataset
+The dataset contains over 47,000 tweets labeled into six categories: Age, Ethnicity, Gender, Religion, Other type of cyberbullying, and Not cyberbullying.
+
+Link to the dataset: [Cyberbullying Classification Dataset](https://www.kaggle.com/datasets/andrewmvd/cyberbullying-classification/data)
+
+
+## Models Used
+
+1. Logistic Regression
+2. Naive Bayes
+3. Random Forest Classifier
+4. Voting Classifier (Ensemble Model): Combines predictions from the above models using a majority voting scheme.
+
+## Contribution
+Contributions are welcome! Feel free to submit issues, feature requests, or pull requests to improve the system.