Document (#37092)

Author

Berry, M.W.
Esau, R.
Kiefer, B.

Title

¬The use of text mining techniques in electronic discovery for legal matters

Source

Next generation search engines: advanced models for information retrieval. Eds.: C. Jouis, u.a

Imprint

Hershey, PA : IGI Publishing

Year

2012

Pages

S.174-190

Abstract

Electronic discovery (eDiscovery) is the process of collecting and analyzing electronic documents to determine their relevance to a legal matter. Office technology has advanced and eased the requirements necessary to create a document. As such, the volume of data has outgrown the manual processes previously used to make relevance judgments. Methods of text mining and information retrieval have been put to use in eDiscovery to help tame the volume of data; however, the results have been uneven. This chapter looks at the historical bias of the collection process. The authors examine how tools like classifiers, latent semantic analysis, and non-negative matrix factorization deal with nuances of the collection process.

Footnote

Vgl.: http://www.igi-global.com/book/next-generation-search-engines/64425.

Theme

Data Mining

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