06 - Generating Confusion Matrix for All ML Models | Roman Urdu Hate Speech Detection

06 - Generating Confusion Matrix for All ML Models | Roman Urdu Hate Speech Detection

Hate Speech Detection using Machine Learning for Roman Urdu

With the rise of online social media platforms, the issue of hate speech has become increasingly prevalent. Hate speech can lead to social tension and harm, especially in multilingual countries like Pakistan, where Roman Urdu is commonly used online. This project aims to develop a machine learning model to detect hate speech in Roman Urdu comments. The focus is on gathering a robust dataset of Roman Urdu comments from social media, pre-processing it, extracting relevant features, and training machine learning models to classify hate speech effectively. Additionally, a web interface will be developed post-completion to allow users to test the model's performance with real-time data.

In This Video We will See Confusion Matrix
• Generate a confusion matrix to evaluate the performance of each classification model.
06- Generating Confusion Matrix of All the Machine Learning Models

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