DocumentCode :
1697546
Title :
A Pattern Recognition approach to automated XBRL extraction
Author :
Alam, Hassan ; Kumar, Aman ; Lee, Cheryl ; Tarnikova, Yuliya
Author_Institution :
BCL Technol., Santa Clara, CA, USA
fYear :
2012
Firstpage :
1
Lastpage :
8
Abstract :
Using example-based Pattern Recognition methods and combining years of developing both EDGAR filings and natural language processing software, BCL Technologies has developed SmartXBRL©, a simplified and automated way to create a compliant XBRL document. In this paper we describe the methods adopted to identify and extract the face financial tables, Document and Entity Information (DEI), Parenthetical, and financial Notes from a 10-Q financial document.
Keywords :
XML; financial data processing; natural language processing; pattern recognition; 10-Q financial document; BCL technology; DEI; EDGAR filings; SmartXBRL; automated XBRL extraction; document and entity information; example-based pattern recognition methods; extensible business reporting language; face financial table extraction; face financial table identification; financial notes; natural language processing software; parenthetical notes; Companies; Data mining; Face; Pattern matching; Security; Software;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence for Financial Engineering & Economics (CIFEr), 2012 IEEE Conference on
Conference_Location :
New York, NY
ISSN :
PENDING
Print_ISBN :
978-1-4673-1802-0
Electronic_ISBN :
PENDING
Type :
conf
DOI :
10.1109/CIFEr.2012.6327812
Filename :
6327812
Link To Document :
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