News

Here are the responses I received to my question about text mining
solutions embedded in e-mail management response systems.

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Guy Lapalme from U. Montreal wrote

you might be interested at looking at our research project at the Universit�
de Montr�al which deals with automatic e-mail follow-up
http://www.iro.umontreal.ca/~kosseim/Extraction/LUB.en.html

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Charles Huot, Director at TEMIS (Text Mining Solutions), based in Paris,
France, sent a presentation about their solution called Email Miner.

It contains rules allowing the user to extract knowledge from emails.
Rules include Morpho-syntactic and semantic tagging,
Semantic components building rules, Negation rules, Modalities rules
and Managing the implicit.

Among other interesting features is
quantitative evaluation�of the degree of customer (dis)satisfaction.

See www.temis-group.com or contact Charles at charles.huot@temis-group.com
for more information.

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Alessandro Zanasi of Meta Group wrote

I think that some systems are well suited to solve specific
problems. Customizable (for specific languages particularities)
products will be the core of the more efficient solutions.
Generally speaking, I consider text mining useful to mine
unstructured data as emails. I expect (at least I hope so!) to
present in  Data Mining 2002 conference a paper about email text
mining, used a) to understand the moral inside a large entreprise
employees b) to measure the change in managerial culture in a
period of two years (always analyzing the content of the emails).