Hate Speech Detection using Machine Learning Algorithms | Machine Learning | Project Shop

Hate Speech Detection using Machine Learning Algorithms employs machine learning algorithms to detect hate speech in social media tweets. After preprocessing and feature engineering, including TF-IDF and Count Vectorization, it trains Logistic Regression, Random Forest, Naive Bayes, and Support Vector Machine models. The models are evaluated and compared for accuracy, and users can test them with custom inputs for real-world applications. The project aims to address and mitigate instances of hate speech through effective text classification.

Requirements and Project setup details are given inside the project folder.