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By employing weakly supervised short-text classification methods, we aim to classify patients’ free-text comments into these predefined themes, providing a more versatile and transferable solution.

Text classification in natural language processing (NLP) is evolving rapidly, particularly with the surge in transformer-based models, including large language models (LLM). This paper presents an ...

Get a hands-on introduction to generative AI with these Python-based coding projects using OpenAI, LangChain, Matplotlib, SQLAlchemy, Gradio, Streamlit, and more.

Document-Classification Bibliography project of performing text classification and statistical analysis on research papers and publications datasets.

Sentiment analysis represents context-based text mining that classifies and abstracts particular information from the source data, and helps to interpret people's feelings. It adopts the NLP approach ...

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 ...