Information Extraction for Text Mining
2000
The extra・Ction ofknowledge/informationfrom vast amountS Oftextualdata has beenthefbcusofmlユChresearchinrecentyears.rfextminlngteClm0logyaimstofind hiddenknowledgeintextualdata・Thevariedinformtaion/termcanbeextractedh・Om textualdata,howeveralloftermsftom仁extualdataare notrepresentative forText Mining・Thus,Text Mining requires theidenti丘ca.tion ofdomain speci丘c termsin Order七os11CCeSSfullyminelinguisticdatatoextractconceptcorrelationsand七rends. Thispaperpresentsamethodfbrtheextractionofsigni丘canttermsandtheirusein therepresentationoftextualdataspecはcallyfbrtheTextMiningapplication・
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