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Volumn 5549 LNAI, Issue , 2009, Pages 39-51

Financial forecasting using character n-gram analysis and readability scores of annual reports

Author keywords

Automatic financial forecasting; CNG; N grams; Readability scores; Support vector machines

Indexed keywords

ANNUAL REPORTS; AUTOMATIC FINANCIAL FORECASTING; CLASSIFICATION TECHNIQUE; CNG; COMBINED MODEL; FINANCIAL FORECASTING; N-GRAMS; NATURAL LANGUAGE PROCESSING; READABILITY SCORES; TEXTUAL CONTENT;

EID: 69849093736     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-01818-3_7     Document Type: Conference Paper
Times cited : (27)

References (18)
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  • 7
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  • 8
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    • Annual report readability, current earnings, and earnings persistence
    • Li, F.: Annual report readability, current earnings, and earnings persistence. Journal of Accounting and Economics (2008)
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    • Li, F.1
  • 9
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    • Yahoo! Inc.: Yahoo! .nance, last access
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  • 14
    • 29144499905 scopus 로고    scopus 로고
    • Working set selection using second order information for training SVM.
    • Fan, R., Chen, P., Lin, C.: Working set selection using second order information for training SVM. Journal of Machine Learning Research 6, 1889-1918 (2005)
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    • Fan, R.1    Chen, P.2    Lin, C.3
  • 15
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    • Stock selection using support vector machines
    • Fan, A., Palaniswami, M.: Stock selection using support vector machines. In: Proceedings of IJCNN 2001, vol.3, pp. 1793-1798 (2001)
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    • Fan, A.1    Palaniswami, M.2
  • 16
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    • Forecasting stock market movement direction with support vector machine
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    • (2005) Computers and Operations Research , vol.32 , pp. 2513-2522
    • Huang, W.1    Nakamori, Y.2    Want, S.-Y.3
  • 17
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    • Financial time series forecasting using support vector machines
    • Kim, K.: Financial time series forecasting using support vector machines. Neuro-computing 55, 307-319 (2003)
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    • Kim, K.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.