> > > . . . > > Isn't function MATCH what you want? > > . . . > The problem is that I don't know the expression for the 'AGAINST' part. > Given a document I'd like to know what it is about without reading it. > . . .
So you want a list of _descriptors_ for each document. That is _precoordination_ which is always computationally expensive. /* And yes I think you have to (re)implement it as access to the MySQL full-text indexes is hard or impossible and/or undocumented (correct me if I am wrong). */ But I wonder if you really do not have the latitude to refocus the problem from the user side: the user inputs a search expression: that is your "AGAINST part". Of course it may take a few seconds, and if your document base is huge it may be impractical, but try it anyway ;-) Sure this is not 'hard' text mining but it is a good first step in the incremental development of an information retrieval system. Also, it gives you more data to mine: the entered search expressions :-) Afterwords you can---and you should!---improve the system with precoordination and text mining. The current best models I know for document description are by the research group GLINT of the CENTRIA. I used to be among them. Call [EMAIL PROTECTED] and tell him I say hello :-) -- , M A R I O data miner, LIACC, room 221 tel 351+226078830, ext 121 A M A D O Rua Campo Alegre, 823 fax 351+226003654 A L V E S P-4150-180 PORTO, Portugal mob 351+939354002 --------------------------------------------------------------------- Before posting, please check: http://www.mysql.com/manual.php (the manual) http://lists.mysql.com/ (the list archive) To request this thread, e-mail <[EMAIL PROTECTED]> To unsubscribe, e-mail <[EMAIL PROTECTED]> Trouble unsubscribing? Try: http://lists.mysql.com/php/unsubscribe.php
