Text mining: Difference between revisions

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==References==
==References==
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Latest revision as of 06:01, 26 October 2024

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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]

See also

References

  1. Text Mining briefing paper : JISC. Retrieved on 2008-01-22.
  2. 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