SMS spam detection using TensorFlow with Dense Embedding, Bi-LSTM, and Universal Sentence Encoder models for binary text classification.
This repository contains a binary sentiment classifier for IMDb movie reviews 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 sarcasm classifier for news headlines using TensorFlow and Keras.
Binary Text Classification for the U.S. Airline Sentiment Analysis Dataset.
Boy Meets Girl Meets Natural Language Processing: Exploring Binary Text Classification of Rom-Com Subgenres Using Movie Synopses in Letterboxd 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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