An Opinion Mining System of Stock Recommendations Based on Web
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    Abstract:

    Internet has become the main channel of information on investment for individual investors. “market trend” is a major consideration for individual investors to investment market. Here to try to design the opinion mining system of stock, the system uses model-based method of tendentious analysis of stock analysts, to identify and extract the predictable view of statement classification and tendentious analysis of the final stock analysts. The experiment results show that the use of the approach makes the opinion mining system’s precision rate arrive at 91.7%.

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莫倩,姜越,胡航丽.基于web 的股评观点挖掘系统.计算机系统应用,2012,21(12):38-42,51

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  • Received:April 13,2012
  • Revised:May 12,2012
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