Authors:
Gokce Aydugan Baydar
and
Seçil Arslan
Affiliation:
R&D and Special Projects Department of Yapí Kredi Teknoloji, Istanbul and Turkey
Keyword(s):
Pattern Recognition, Document Digitalization, Information Retrieval, Classification, ElasticSearch.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Artificial Intelligence
;
Biomedical Engineering
;
Biomedical Signal Processing
;
Business Analytics
;
Data Analytics
;
Data Engineering
;
Data Management and Quality
;
Data Manipulation
;
Health Engineering and Technology Applications
;
Human-Computer Interaction
;
Information Retrieval
;
Knowledge Discovery and Information Retrieval
;
Knowledge-Based Systems
;
Methodologies and Methods
;
Neurocomputing
;
Neurotechnology, Electronics and Informatics
;
Ontologies and the Semantic Web
;
Pattern Recognition
;
Physiological Computing Systems
;
Semi-Structured and Unstructured Data
;
Sensor Networks
;
Soft Computing
;
Software Engineering
;
Symbolic Systems
;
Text Analytics
Abstract:
Credit risk evaluation and sales target optimization are core businesses for financial institutions. Financial documents like t-balances, balance sheets, income statements are the most important inputs for both of these core businesses. T-balance is a semi-structured financial document which is constructed periodically by accountants and contains detailed accounting transactions. FOCA is an end to end system which first classifies financial documents in order to recognize t-balances, then digitalizes them into a tree-structured form and finally extracts valuable information such as bank names, human-company distinction, deposit type and liability term from free format text fields of t-balances. The information extracted is also enriched by matching human and company names who are in a relationship with existing customers of the bank from the customer database. Pattern recognition, natural language processing, and information retrieval techniques are utilized for these capabilities. F
OCA supports both decision/operational processes of corporate/commercial/SME sales and financial analysis departments in order to empower new customer engagement, cross-sell and up-sell to the existing customers and ease financial analysis operations by digitalizing t-balances.
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