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Mining Text for Expert Witnesses
May/June 2005 (vol. 22 no. 3)
pp. 94-100
| ASCII Text | x | ||
| Christopher Dozier, Peter Jackson, "Mining Text for Expert Witnesses," IEEE Software, vol. 22, no. 3, pp. 94-100, May/June, 2005. | |||
| BibTex | x | ||
| @article{ 10.1109/MS.2005.70, author = {Christopher Dozier and Peter Jackson}, title = {Mining Text for Expert Witnesses}, journal ={IEEE Software}, volume = {22}, number = {3}, issn = {0740-7459}, year = {2005}, pages = {94-100}, doi = {http://doi.ieeecomputersociety.org/10.1109/MS.2005.70}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - MGZN JO - IEEE Software TI - Mining Text for Expert Witnesses IS - 3 SN - 0740-7459 SP94 EP100 EPD - 94-100 A1 - Christopher Dozier, A1 - Peter Jackson, PY - 2005 KW - document and text processing KW - document analysis KW - administrative data processing KW - law VL - 22 JA - IEEE Software ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MS.2005.70
Text mining is a relatively new research area associated with the creation of novel information resources from electronic text repositories. An expert-witness database based on text from legal, medical, and news documents demonstrates the successful application of text-mining techniques.
Index Terms:
document and text processing, document analysis, administrative data processing, law
Citation:
Christopher Dozier, Peter Jackson, "Mining Text for Expert Witnesses," IEEE Software, vol. 22, no. 3, pp. 94-100, May-June 2005, doi:10.1109/MS.2005.70
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