Hate-Speech-Detection

(Aim - Identification of bias against people with disabilities using sentiment analysis and toxicity detection models)

1. Created hate speech classification model using TensorFlow, which is also apt to other sociodemographic biases and achieved 80% accuracy
2. Developed a model for identification of bias against people with disabilities to examine sentiments and toxicity on social media platform
3. Sentiment analysis and toxicity detection to show strong negative biases on sentences that mention disability using Machine Learning