#text-mining

#text-mining

The project focuses on optimizing text content filtering for lot zoning in procurement processes.

Text mining and NLP have minimal application in procurement, highlighting a gap in research and practical methodologies.

The project aims to standardize data extraction from various file formats into a unified JSON format for easier machine accessibility.

Text mining and NLP techniques effectively identify lot references and item descriptions in procurement documents.

The project successfully demonstrates a comprehensive system for supplier risk profiling in healthcare procurement using a massive dataset of tender notices.

The article outlines a methodology for extracting structured data from tender documents, leveraging NLP techniques for procurement efficiency.