pub med Vector - Moozonian

GitHub Repo https://github.com/deenadeena51606-arch/Social-Media-Sentiment-Analysis-Evaluation-Public-Opinion-On-Recent-Event

deenadeena51606-arch/Social-Media-Sentiment-Analysis-Evaluation-Public-Opinion-On-Recent-Event

This project builds a sentiment analysis model to classify social media text as positive, negative, or neutral. It uses text cleaning, TF-IDF vectorization, and a Random Forest classifier to achieve reliable predictions. The model is evaluated with accuracy metrics and saved for future use.

GitHub Repo https://github.com/SethRNewton/PubMed_Abstract_Query

SethRNewton/PubMed_Abstract_Query

This project queries the PubMed API for a user's search query, retrieves up to 1000 entries to store in JSON format, embeds each as a vector using sentence-transformer to store in a chromaDB database, then uses claude API to answer a user's query with citations to the original PubMed works in a RAG fashion.

GitHub Repo https://github.com/AstroQuantumphysicist/PubMed-VectorSearch

AstroQuantumphysicist/PubMed-VectorSearch

No repository description available.

GitHub Repo https://github.com/AMassil/PubMedLLM

AMassil/PubMedLLM

Python-based pipeline to retrieve, process, and query PubMed research articles, leveraging PostgreSQL for vector storage and LangChain for LLM-powered data analysis

GitHub Repo https://github.com/Retsuko64/OmniRAG_PubMedKG

Retsuko64/OmniRAG_PubMedKG

Using Knowledge Graphs and vector data stores to provide relevant context to LLMs in medical Q/A.

GitHub Repo https://github.com/whitevshadow/Biomedical-RAG-Assistant-with-PubMed-Documents

whitevshadow/Biomedical-RAG-Assistant-with-PubMed-Documents

An OCR-powered Retrieval-Augmented Generation (RAG) system for biomedical research, featuring inline citations, ChromaDB vector search, and Groq-based LLM inference.

GitHub Repo https://github.com/Imshepherd/wordVectors-R-PubMed-Resourse

Imshepherd/wordVectors-R-PubMed-Resourse

No repository description available.

GitHub Repo https://github.com/salarnooori/PubMed-Article-Analysis-and-Text-Generation-Model-Training

salarnooori/PubMed-Article-Analysis-and-Text-Generation-Model-Training

A Jupyter Notebook for fetching, processing, and analyzing Persian abstracts from PubMed to create a training dataset. It includes text preprocessing, TF-IDF vectorization, finding related articles, and training a text generation model using tiny-efficient5-t with evaluation metrics BLEU, ROUGE, and BERTScore.