Text mining
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Text mining "involves analysing a large collection of documents to discover previously unknown information".[1]
Coping with the many ways that a concept may be expressed in text (Zipf's law) remains a barrier in achieving results with text mining that are as good a human-curated results.[2]
References
- ↑ Text Mining briefing paper : JISC. Retrieved on 2008-01-22.
- ↑ Rebholz-Schuhmann D, Kirsch H, Couto F (2005). "Facts from text--is text mining ready to deliver?". PLoS Biol. 3 (2): e65. DOI:10.1371/journal.pbio.0030065. PMID 15719064. Research Blogging. PubMed Central
See also
External links
- National Institute of Standards and Technology's (NIST) Information Technology Laboratory (ITL): Introduction to Information Extraction
- Text Analytics Wiki