Abstract
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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
