Article

Corporate Data Mining Trends: Part II -- Text Mining

Posted October 1, 2003 | Technology | Cutter Benchmark Review

In the previous article, I examined corporate trends related to the use of data mining technology for analyzing structured data. In this piece, I analyze findings surrounding the corporate adoption and use of text mining technology. Findings are based on the Cutter Consortium February/March 2003 survey of 152 respondents (pared down to 119 responding organizations). Specifically, I consider these trends and issues:

About The Author
Curt Hall
Curt Hall is a Cutter Expert and a member of Arthur D. Little’s AMP open consulting network. He has extensive experience as an IT analyst covering technology and application development trends, markets, software, and services. Mr. Hall's expertise includes artificial intelligence (AI), machine learning (ML), intelligent process automation (IPA), natural language processing (NLP) and conversational computing, blockchain for business, and customer… Read More
Don’t have a login? Make one! It’s free and gives you access to all Cutter research.