Title :
Mining Stock News in Cyberworid Based on Natural Language Processing and Neural Networks
Author :
Liang, Xun ; Chen, Rong-Chang
Author_Institution :
Inst. of Comput. Sci. & Technol., Peking Univ., Beijing
Abstract :
Mining a large amount of the stock news on newspapers and televisions is beyond the human´s reading or listening capacities and has not been feasible to be processed by computers until the popular usage of the Internet in the financial activities. In this paper, the Web stock news harvested from the cyberworld is processed by the linguistics analyzer based on Chinese natural language processing technology. The set of the processed Web stock news is mined empirically for the relations to the stock returns based on the neural networks through the experiments. The work explores microstructure of the stock markets from a new angle
Keywords :
Internet; data mining; information resources; natural languages; neural nets; stock markets; Chinese natural language processing; Web stock news; cyberworld; neural networks; stock markets; stock news mining; Electronic mail; IEEE news; Industrial economics; Industrial relations; Intelligent networks; Internet; Natural language processing; Neural networks; Stock markets; TV;
Conference_Titel :
Neural Networks and Brain, 2005. ICNN&B '05. International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-9422-4
DOI :
10.1109/ICNNB.2005.1614765
