Monitoring financial market using French written textual data.

被引:2
作者
Chuttur, MY [1 ]
Bhurtun, C
机构
[1] Univ Mauritius, Dept Comp Sci, Reduit, Mauritius
[2] Univ Mauritius, Elect & Elect Dept, Reduit, Mauritius
来源
ICCC 2005: IEEE 3rd International Conference on Computational Cybernetics | 2005年
关键词
D O I
10.1109/ICCCYB.2005.1511579
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper describes the implementation of a French language Information Extraction system that can extract key terms from French written financial texts to provide information regarding direction of Market trend. The aim is to reduce reading workload on financial investors, especially in stock market business, whereby large amount of available textual data is to be assimilated and interpreted in a limited period of time. Results obtained show that accuracy of the technique employed in information extraction is very promising and can very well be considered as an important step in advanced applications like Information Management and Knowledge Discovery from textual data.
引用
收藏
页码:239 / 242
页数:4
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