Classification of Data From Icelandic Financial Statements

Heildartexti lokaskýrslu. Prentuð útgafa og öll fylgiskjöl á CD eru varðveitt í bókasafni HR Financial reports tell the financial story of a company, it is valuable information for anyone who might be interested in investing in these companies. In Iceland these reports are only available in PDF form...

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Bibliographic Details
Main Authors: Carsten Petersen 1975-, Róbert Gunnarsson 1963-, Sigurrós Soffía Kristinsdóttir 1979-
Other Authors: Háskólinn í Reykjavík
Format: Thesis
Language:English
Published: 2014
Subjects:
Online Access:http://hdl.handle.net/1946/21098
Description
Summary:Heildartexti lokaskýrslu. Prentuð útgafa og öll fylgiskjöl á CD eru varðveitt í bókasafni HR Financial reports tell the financial story of a company, it is valuable information for anyone who might be interested in investing in these companies. In Iceland these reports are only available in PDF format and they only follow a loosely defined structure. Kóði is a company that would like to be able to extract and work with the data contained in these reports. In this report we look at the feasibility of using machine learning techniques to extract and classify data from Icelandic financial reports. Kóði ehf