Information Retrieval System
This repository implements an Information Retrieval System based on the Vector Information Retrieval Model. It includes a visual interface powered by Streamlit and provides evaluation using various objective metrics across different test collections.
Features
Implements Vector Information Retrieval Model
Visual interface using Streamlit
Evaluation with different test collections and objective metrics
Clustering techniques to group documents
Implementation of a crawler to gain information.
NLP techniques and different metrics in different collections are applied to check the functionality of the system.
Workflow of an Information Retrieval System
Resources
Skills
NLTK
Python
Streamlit
Sckit-Learn
Habilities
Machine Learning
Clustering
Content Filtering
Programming