This repository contains a binary sarcasm classifier for news headlines using TensorFlow and Keras.
Binary text segmentation. Fake and real news title classification. LinReg and roBERT
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 repository contains a binary sentiment classifier for IMDb movie reviews using TensorFlow and Keras
Binary Text Classification for the U.S. Airline Sentiment Analysis Dataset.
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.
The repository of spam messages classification using LSTM, Bi-LSTM and GRU.
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