loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
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 -
 
Christopher Dozier, Thomson Legal and Regulatory
Peter Jackson, Thomson Legal and Regulatory
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
Usage of this product signifies your acceptance of the Terms of Use.