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python-nlp

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Sentiment Analysis using NLP involves analyzing text data to determine the sentiment expressed, such as positive, negative, or neutral. It leverages techniques like tokenization, vectorization, and machine learning models to classify text sentiment.

  • Updated Feb 13, 2025
  • Jupyter Notebook

A lightweight, modular Retrieval-Augmented Generation (RAG) system built with Streamlit, FAISS, and LLMs like OpenAI and Ollama. Upload documents, embed them, and ask intelligent questions with real-time context-aware responses.

  • Updated Jun 26, 2025
  • Python

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