Implemented deep learning models (MLP, CNN, LSTM, RNN, BILSTM) for classifying unstructured Telugu text to categories like sports, business, politics, and films.
DATASET DESCRIPTION
The news has a vital role in demonstrating reality and has a significant impact on social practices; nevertheless, the community that studies sentiment analysis pays less attention to a significant portion of the news generated in Telugu. Kaggle was used to get the data for the Telugu News dataset This particular set of information has a total of 17312 sentence heads for documents written in Telugu. The body is collected in such a way that it is classified into these 5 class labels: business, editorial, entertainment, nation, or sports.