This document discusses using text mining on PubAg abstracts. It introduces PubRunner, a text mining tool that keeps its analysis up to date by downloading new XML files from PubMed and uploading results. It also mentions NutriChem, a resource that uses text mining to explore the medicinal properties of plant-based foods. The authors are seeking access to all PubAg abstracts, preferably via FTP, to demonstrate how text mining can help build navigable biological databases using tools like PubRunner and NutriChem.