Binary Text Classification for the U.S. Airline Sentiment Analysis Dataset.

Binary text segmentation. Fake and real news title classification. LinReg and roBERT

The repository of spam messages classification using LSTM, Bi-LSTM and GRU.

A deep learning model for detecting suicidal tendencies in text using LSTM and GloVe embeddings. Includes interactive text input with IPyWidgets for real-time analysis.

This project refactored code to build an SMS spam detection model using a linear SVC pipeline with TF-IDF vectorization. The model was integrated into a Gradio interface, enabling real-time user predictions of whether a text message is spam or not, demonstrating the practical application of language models in text classification tasks.