A personal agent for Chinese financial news on the Web
Journal of the American Society for Information Science and Technology
Information Visualization in Data Mining and Knowledge Discovery
Information Visualization in Data Mining and Knowledge Discovery
Currency exchange rate forecasting from news headlines
ADC '02 Proceedings of the 13th Australasian database conference - Volume 5
Text summarization using a trainable summarizer and latent semantic analysis
Information Processing and Management: an International Journal - Special issue: An Asian digital libraries perspective
HICSS '06 Proceedings of the 39th Annual Hawaii International Conference on System Sciences - Volume 05
A bottom-up merging algorithm for Chinese unknown word extraction
SIGHAN '03 Proceedings of the second SIGHAN workshop on Chinese language processing - Volume 17
Gaining competitive advantage for trading in emerging capital markets with neural networks
Journal of Management Information Systems - Special section: Strategic and competitive information systems
Mining expressive temporal associations from complex data
MLDM'05 Proceedings of the 4th international conference on Machine Learning and Data Mining in Pattern Recognition
Unsupervised keyphrase extraction for search ontologies
NLDB'06 Proceedings of the 11th international conference on Applications of Natural Language to Information Systems
Using a fuzzy association rule mining approach to identify the financial data association
Expert Systems with Applications: An International Journal
Hi-index | 12.05 |
In this work, a financial news headline agent is proposed to assisting the investors in deciding to buy and to sell stocks in Taiwan market after receiving the essential real-time news headline disseminated by the agent. Weighted association rules and text mining techniques are used to derive the significance degree of each newly arrived news headline on the fluctuation of Taiwan Stock Exchange Financial Price Index on the next trading day. The experimental results reveal that the proposed work indeed achieves significant performance and demonstrate its feasibility in the applications of real-time information dissemination, such as financial news headlines via Internet.