Data - 1,860 tweets in Malay language
Purpose - Build a machine learning model to identify tweets containing hate speech
Hate_01_TFIDF.ipynb
Identify hate speech using TF-IDF (Term Frequency - Inverse Dense Frequency).
Hate_02_Vectors.ipynb
Transform Malay words into embeddings for further processing.
Hate_03_Random_Search.ipynb
Search for the best hyperparameters for RNN (recurrent neural network) model.
Hate_04_RNN.ipynb
Build an RNN model to identify hate speech with the best hyperparameters.