Comments on: Scoping the text mining market http://www.texttechnologies.com/2006/06/26/scoping-the-text-mining-market/ Understanding technology ... in both senses of the phrase Thu, 19 Jan 2012 17:11:01 +0000 hourly 1 http://wordpress.org/?v=3.0.3 By: monash http://www.texttechnologies.com/2006/06/26/scoping-the-text-mining-market/#comment-1294 monash Fri, 07 Jul 2006 02:58:39 +0000 http://www.texttechnologies.com/2006/06/26/scoping-the-text-mining-market/#comment-1294 Good points all, Mary. Although the definitional wars for "text mining" may be more trouble than they're worth. Maybe we should collect some proof points, like "so-and-so many customers for flavor X of app, and so-and-so many for flavor Y." Actually, I suspect there are a number of subcategories in which SAS is the actual leader, exceeding even SPSS. Curt Monash Good points all, Mary. Although the definitional wars for “text mining” may be more trouble than they’re worth.

Maybe we should collect some proof points, like “so-and-so many customers for flavor X of app, and so-and-so many for flavor Y.” Actually, I suspect there are a number of subcategories in which SAS is the actual leader, exceeding even SPSS.

Curt Monash

]]> By: mary grace crissey http://www.texttechnologies.com/2006/06/26/scoping-the-text-mining-market/#comment-1240 mary grace crissey Tue, 04 Jul 2006 21:22:34 +0000 http://www.texttechnologies.com/2006/06/26/scoping-the-text-mining-market/#comment-1240 One of the reasons we find so few market sizing figures for text mining -- or text analytic technologies is because its hard to “draw the line” around this field. I’ve seen text analytical tools lumped in with • the “content management – Information Management” software technologies • others see Text analytics as one form of analysis to add to predictive analytics and data mining suites • others focus on the linguistics and semantics • Others toss it in as a BI enhancement and insist on reporting TM in with the entire BI area as one metric. • Perhaps we can call TM a form of Artificial Intelligence – you can see evidence of this as text applications are showing up in ACM conferences and research institutions around the world so before we lament about the lack of revenue numbers for this emerging field – lets begin by building awareness especially in the IT communities of what Text Mining is and start to highlight what is and is not text mining. Setting boundaries is especially tricky when you try to determine the fair share of revenue coming from “turbo charged” solutions. By this I mean those specific industrial focused implementations such as warranty that are growing by tremendous leaps and bounds now that it has added text analytics to the” Engine.” One of the reasons we find so few market sizing figures for text mining — or text analytic technologies is because its hard to “draw the line” around this field.

I’ve seen text analytical tools lumped in with
• the “content management – Information Management” software technologies
• others see Text analytics as one form of analysis to add to predictive analytics and data mining suites
• others focus on the linguistics and semantics
• Others toss it in as a BI enhancement and insist on reporting TM in with the entire BI area as one metric.
• Perhaps we can call TM a form of Artificial Intelligence – you can see evidence of this as text applications are showing up in ACM conferences and research institutions around the world

so before we lament about the lack of revenue numbers for this emerging field – lets begin by building awareness especially in the IT communities of what Text Mining is and start to highlight what is and is not text mining.

Setting boundaries is especially tricky when you try to determine the fair share of revenue coming from “turbo charged” solutions. By this I mean those specific industrial focused implementations such as warranty that are growing by tremendous leaps and bounds now that it has added text analytics to the” Engine.”

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