Text mining of securities reports for discovering reason of change

Shin Ichiro Yoshida, Tetsuya Nakatoh, Shuichi Mitarai, Sachio Hirokawa

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Citation (Scopus)

    Abstract

    A stock market is a base of the economic activity in present-day free economy society. In order to become a listed company, there is a severe examination. Furthermore, yearly duty is attached by law for the listed company to file the fixed form report about the financial condition. In this paper, correspondence of the numeric data about the activity of a company and text data is analyzed for the financial report. All of 68 medical-supplies-related listed companies were chosen first. Then, the feature words were extracted from the reports of the companies where achievements have improved favorably. Moreover, the feature words of the financial report of the time were extracted about the companies where achievements carried out the sharp reversal to profitability.

    Original languageEnglish
    Title of host publication25th International Conference on Computer Applications in Industry and Engineering, CAINE 2012 and 4th International Symposium on Sensor Network and Application, SNA 2012
    Pages41-45
    Number of pages5
    Publication statusPublished - Dec 1 2012
    Event25th International Conference on Computer Applications in Industry and Engineering, CAINE 2012 and the 4th International Symposium on Sensor Network and Application, SNA 2012 - New Orleans, LA, United States
    Duration: Nov 14 2012Nov 16 2012

    Publication series

    Name25th International Conference on Computer Applications in Industry and Engineering, CAINE 2012 and 4th International Symposium on Sensor Network and Application, SNA 2012

    Other

    Other25th International Conference on Computer Applications in Industry and Engineering, CAINE 2012 and the 4th International Symposium on Sensor Network and Application, SNA 2012
    CountryUnited States
    CityNew Orleans, LA
    Period11/14/1211/16/12

    All Science Journal Classification (ASJC) codes

    • Computer Networks and Communications
    • Computer Science Applications
    • Industrial and Manufacturing Engineering

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