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

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

This repository contains a binary sentiment classifier for IMDb movie reviews using TensorFlow and Keras

This repository contains a binary sarcasm classifier for news headlines using TensorFlow and Keras.

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.

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

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.