News Document Classification apply on the Prediction of Credit Default
碩士 === 銘傳大學 === 財務金融學系碩士班 === 94 === The purpose of this paper is to provide an algorithm to shape the predicting model of financial-distress probability. The fundamental concepts we have adopted include entropy theory, and text classification. The algorithm contains two stages: one is training stag...
Main Authors: | Hsin-Chun Lu, 呂欣淳 |
---|---|
Other Authors: | Chen-Nan Chen |
Format: | Others |
Language: | zh-TW |
Published: |
2006
|
Online Access: | http://ndltd.ncl.edu.tw/handle/87ykw7 |
Similar Items
-
Automatic Document Classification Applied to Swedish News
by: Blein, Florent
Published: (2005) -
The valuation of forward credit default swaps and credit default swap options
by: Li-Hsin Wu, et al.
Published: (2006) -
A default prediction model based on soft information from news
by: Lu, Peng-I, et al.
Published: (2018) -
Prediction and Estimation of Credit Portfolio Default Rate
by: Cheng,Wei-Chun, et al.
Published: (2007) -
Applying Optimism or Pessimism Sentiment that Revealed in the Financial News on the Prediction of Corporate Default Probability
by: Yi- Huang Chang, et al.
Published: (2009)