A Survey on Text Mining-techniques and application

This document summarizes text mining techniques and applications. It discusses text mining processes like document gathering, pre-processing, transformation, feature selection, and pattern selection. It also describes text mining techniques including categorization, clustering, information extraction, information visualization, and natural language processing. Finally, it outlines applications of text mining in various domains such as business intelligence, bioinformatics, security, human resources, and web search enhancement.