TY - GEN
T1 - Prediction of growth rate of operating income using securities reports
AU - Nakatoh, Tetsuya
AU - Amano, Hirofumi
AU - Hirokawa, Sachio
N1 - Copyright:
Copyright 2014 Elsevier B.V., All rights reserved.
PY - 2013
Y1 - 2013
N2 - Corporate analysis is needed for various purposes such as finding a good business partner or a good employment, as well as choosing a good investment. Conventionally, it has been based mainly on financial figures. Recent advances in natural language processing technology, however, has activated studies on analysis of non-financial, textual data. This paper tries to predict the growth rate of the operating income of a company from text data contained in the security report of that company. It reports that this method can classify profitable companies and loss-making ones at 55% F-measure.
AB - Corporate analysis is needed for various purposes such as finding a good business partner or a good employment, as well as choosing a good investment. Conventionally, it has been based mainly on financial figures. Recent advances in natural language processing technology, however, has activated studies on analysis of non-financial, textual data. This paper tries to predict the growth rate of the operating income of a company from text data contained in the security report of that company. It reports that this method can classify profitable companies and loss-making ones at 55% F-measure.
UR - http://www.scopus.com/inward/record.url?scp=84890033314&partnerID=8YFLogxK
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U2 - 10.1109/IIAI-AAI.2013.50
DO - 10.1109/IIAI-AAI.2013.50
M3 - Conference contribution
AN - SCOPUS:84890033314
SN - 9780769550718
T3 - Proceedings - 2nd IIAI International Conference on Advanced Applied Informatics, IIAI-AAI 2013
SP - 84
EP - 88
BT - Proceedings - 2nd IIAI International Conference on Advanced Applied Informatics, IIAI-AAI 2013
T2 - 2nd IIAI International Conference on Advanced Applied Informatics, IIAI-AAI 2013
Y2 - 31 August 2013 through 4 September 2013
ER -