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A versatile information retrieval tool implementing a Boolean retrieval model and Vector Space model. Perform precise phrase queries, rank documents by similarity scores between the documents and the query, and gain insights from processed text data collection
Information Retrieval is the process of accessing relevant information from data sources using techniques like indexing and ranking. It is crucial for search engines, databases, and digital libraries for efficient information access.
Information retrieval system implementing multiple retrieval models with an interactive Streamlit interface. This project provides text search capabilities, performance metrics, and document analysis tools.