A python project for checking plagiarism of documents based on cosine similarity
This consist of basic examples of performing Speech Recognition in Python using Google Speech Recognition Engine
Content based recommender system for books using NLP.
第一屆《 NLP 自然語言機器學習馬拉松 》100天刻意練習，掌握 NLP 與機器學習關鍵技術
This repo consists of a source code of a Python script which detects plagiarism in a textual document using cosine similarity.
Python package that makes it easy to use stop words lists in Python projects.
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.
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.
A Python-based application for summarizing text using Extractive (TF-IDF) and Abstractive (T5 Transformer) techniques. Features an intuitive Streamlit UI for seamless interaction. Simply paste your text, choose a summarization type, and get concise summaries instantly!
an intelligent book recommendation system using llms and python. vibe code-free.
Python wrapper for Stanford corenlp and utility scripts
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