TY  - JOUR
A1  - Muntermann, Jan
T1  - The verbal side of financial data analysis – a study on machine learning capabilities
T2  - EFL quarterly : an E-Finance Lab publication
N2  - AS A MATTER OF COURSE, QUANTITATIVE DATA SUCH AS TIME SERIES AND QUARTERLY FIGURES ARE FREQUENTLY USED IN FINANCIAL ANALYSIS. SUCH DATA CAN BE PROCESSED AUTOMATICALLY AND INTERPRETED RATHER EFFICIENTLY. HOWEVER, A SIGNIFICANT PERCENTAGE OF RELEVANT INFORMATION ORIGINATES FROM UNSTRUCTURED SOURCES, PRIMARILY TEXTUAL DATA, WHICH REQUIRE MANUAL (HUMAN) INTERPRETATION. WE EXPLORE EMPIRICALLY HOW MACHINE LEARNING TECHNIQUES CAN PROVIDE SUPPORT FOR ANALYZING AND INTERPRETING SUCH TEXTUAL DATA SOURCES.
Y1  - 2010
UR  - http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/57885
UR  - https://nbn-resolving.org/urn:nbn:de:hebis:30:3-578853
SN  - 1866-1238
VL  - 2010
IS  - 1
SP  - 4
EP  - 5
PB  - E-Finance Lab e.V.
CY  - Frankfurt am Main
ER  -