HateSpeech_Eval

This project was made using Jupyter Notebook

Project Structure

1. Data

This is where the HatEval dataset used for training and testing are stored

2. Prototype

This consists of experiments conducted throughout the project.

1. Model Experiments with CountVectorizer Experiments to get acquainted with bag-of-words and basic classifying models

2. Targeted and Aggressive

3. VADER Experiments Sentiment Analysis Experiments

4. PipelineTest GridSearch Pipeline experiments

5. BERT Experiment Transformers Experiments

3. Reports

1. Bag of Words Parameters
2. Classification Models
3. Hyperparameter Tuning
4. Logistic Regression
5. Naive Bayes
6. StochasticGradientDescent

4. Product