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When the listed company was treated specially, the ST Company will be under tremendous pressure. So the Commission will take action. Firstly, it will monitor the ST Company to improve the operation and production conditions. Then, it will clean up bad assets. At last, it will put into good assets. After all these actions, the ST Company will restore normal listed company. In this paper, we use financial...
With the advantages of some current web text extraction algorithms, this paper puts forward a new method based on the combination of the regular expressions and density of page text, the method firstly uses the regular expressions to clear the html tags by the characteristics of the web page source code, and then extracts the main text of page with the distribution density of text. The algorithm is...
We introduce frequent contextual term set (FCT) as an alternative concept of term set construction for text clustering which is produced from the interestingness of documents. Comparing to state-of-art term set, the proposed approach has some advantages: (1) more efficient in term set production (2) more effective in storing the vocabulary amongst documents which express the context amongst documents...
We use text semantic mining algorithms based on intelligent search engine framework to obtain media information data of stocks. Since media is significantly related to firm size, industry affiliation and whether belongs to important index, we adopt event study and use the residual attention model to examine the relationship between abnormal media information and stock returns with a special sample...
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