DocumentCode :
3416428
Title :
Automatic extraction of performance indicators from financial statements
Author :
Kamaruddin, Siti Sakira ; Hamdan, Abdul Razak ; Bakar, Afarulrazi Abu ; Nor, Fauzias Mat
Author_Institution :
Fac. of Inf. Sci. & Technol., Univ. Kebangsaan Malaysia, Bangi, Malaysia
Volume :
02
fYear :
2009
fDate :
5-7 Aug. 2009
Firstpage :
348
Lastpage :
350
Abstract :
We present a method to automatically analyze financial statements for the purpose of recognizing and extracting relevant financial indicators together with its values and its related narratives. We employ a rule-based approach to solve the problem of syntactical and morphological variations contained within the financial text. The information was extracted using a multi-pass scan to process the text in a series of pre-programmed functions. Experiments were carried out to demonstrate the feasibility of the system by deriving the precision and recall scores. The extracted results can be used to construct and augment knowledge bases for a more complex text mining systems.
Keywords :
data mining; financial data processing; knowledge based systems; financial statements; information extraction; performance indicators automatic extraction; rule-based approach; text mining; Business; Companies; Data mining; Informatics; Information analysis; Information science; Performance analysis; Profitability; Tagging; Text mining; Information extraction; financial statement analysis; rule-based approach; text mining;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical Engineering and Informatics, 2009. ICEEI '09. International Conference on
Conference_Location :
Selangor
Print_ISBN :
978-1-4244-4913-2
Type :
conf
DOI :
10.1109/ICEEI.2009.5254714
Filename :
5254714
Link To Document :
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