Title :
Prediction of Growth Rate of Operating Income Using Securities Reports
Author :
Nakatoh, Tetsuya ; Amano, Hideharu ; Hirokawa, Sachio
Author_Institution :
Res. Inst. for Inf. Technol., Kyushu Univ., Fukuoka, Japan
fDate :
Aug. 31 2013-Sept. 4 2013
Abstract :
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.
Keywords :
data analysis; investment; natural language processing; security of data; corporate analysis; financial figures; growth rate prediction; investment; natural language processing technology; nonfinancial textual data analysis; operating income; security report; text data; Accuracy; Companies; Feature extraction; Security; Stock markets; Support vector machines; Corporate analysis; SVM; Securities Reports;
Conference_Titel :
Advanced Applied Informatics (IIAIAAI), 2013 IIAI International Conference on
Conference_Location :
Los Alamitos, CA
Print_ISBN :
978-1-4799-2134-8
DOI :
10.1109/IIAI-AAI.2013.50