Title :
Financial activity mining from online multilingual news
Author :
Shan, Pik ; Ruizhang, Cheung ; Lam, Huang Wai
Author_Institution :
Dept. of Syst. Eng. & Eng. Manage., Chinese Univ. of Hong Kong, China
Abstract :
We develop a financial knowledge management system, known as FAM, which is able to digest online news and conduct financial activity mining. Financial online news articles are automatically fetched from the Web. By analyzing the text content, metadata capturing major attributes such as company names and people names are automatically extracted. The metadata together with content terms are processed to mine financial activities via an unsupervised learning algorithm. FAM is capable of dealing with multilingual news including English and Chinese.
Keywords :
Internet; data mining; financial data processing; knowledge management; meta data; natural languages; text analysis; unsupervised learning; Chinese; English; FAM; World Wide Web; financial activity mining; financial knowledge management system; financial online news articles; metadata; online multilingual news; text content analysis; unsupervised learning algorithm; Humans; Information analysis; Internet; Investments; Knowledge engineering; Knowledge management; Monitoring; Research and development management; Systems engineering and theory; Unsupervised learning;
Conference_Titel :
Information Technology: Coding and Computing, 2004. Proceedings. ITCC 2004. International Conference on
Print_ISBN :
0-7695-2108-8
DOI :
10.1109/ITCC.2004.1286464
