Automatic extraction of performance indicators from financial statements

Proceedings of the 2009 International Conference on Electrical Engineering and Informatics, ICEEI 2009

Volumn 2, Issue , 2009, Pages 348-350

  Kamaruddin, Siti Sakira ^a   Hamdan, Abdul Razak ^a   Bakar, Azuraliza Abu ^a   Nor, Fauzias Mat ^a  

^a UNIVERSITI KEBANGSAAN MALAYSIA   (Malaysia)

Author keywords

Financial statement analysis; Information extraction; Rule based approach; Text mining

Indexed keywords

AUTOMATIC EXTRACTION; FINANCIAL INDICATOR; FINANCIAL STATEMENT ANALYSIS; FINANCIAL STATEMENTS; INFORMATION EXTRACTION RULES; KNOWLEDGE BASIS; MORPHOLOGICAL VARIATION; MULTI-PASS; PERFORMANCE INDICATORS; PRECISION AND RECALL; RULE-BASED APPROACH; TEXT MINING;

BENCHMARKING; ELECTRICAL ENGINEERING; INFORMATION ANALYSIS;

FINANCE;

EID: 70449646803     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICEEI.2009.5254714     Document Type: Conference Paper

References (9)

1. A. Samad and M. K. Hassan, "The performance of Malaysian Islamic Bank During 1984-1997: An Exploratory study," International Journal of Islamic Financial Services, vol. 1, 1998.
2. W. Fan, L. Wallace, S. Rich, and Z. Zhang, "Tapping the Power of Text Mining," Communications of the ACM, vol. 49, pp. 77-82, 2006.
3. P. M. Andersen, P. J. Hayes, A. K. Huettner, L. M. Schmandt, I. B. Nirenburg, and S. P. Weinstein, "Automatic extraction of facts from press releases to generate news stories" in Proceedings of the third conference on Applied natural language processing, 1992, p.170-177.
4. L. Ma and J. Shepherd, "Information Extraction Using Two-Phase Pattern Discovery," in The 27th Annual International ACM SIGIR Conference. Sheffield, South Yorkshire, UK: ACM, 2004.
5. H. Mangassarian and H. Artail, "A general framework for subjective information extraction from unstructured English text," Data & Knowledge Engineering, vol. 62, pp. 352-367, 2007.
6. A. Culotta, A. McCallum, and J. Betz, "Integrating probabilistic extraction models and data mining to discover relations and patterns in text," in Human Language Technology Conference of the North American Chapter of The Association of Computaional Linguistics (HTL/NAACL), 2006.
7. W. Kornfeld and J. Wattecamps, "Automatically Locating, Extracting and Analyzing Tabular Data," in Proceedings of the 21st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 1998, p.347-348.
8. A. Meyers, "Multi-Pass Multi-Strategy NLP," Text Analysis International, Inc.
9. D. Zhou and Y. He, "Extracting interaction between proteins from the literature," Journal of Biomedical Informatics, vol. 41, pp. 397-407, 2008.