Visualising sentiments in financial texts?

被引：14

作者：

Ahmad, K ^{[1
]}

Almas, Y ^{[1
]}

机构：

[1] Univ Surrey, Dept Comp, Guildford GU2 7XH, Surrey, England

来源：

NINTH INTERNATIONAL CONFERENCE ON INFORMATION VISUALISATION, PROCEEDINGS | 2005年

关键词：

D O I：

10.1109/IV.2005.143

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

An information extraction system that extracts 'sentiment' words in unrestricted Arabic texts is described. Earlier work on the automatic sentiment analysis in English and Chinese texts has been adapted and extended to the morphologically richer Arabic texts. A method for automatically and unambiguously extracting sentiment-bearing patterns from texts in Arabic is described. A list of sentiment words is provided and sentiment bearing excerpts are extracted from time-stamped news wire: The frequency of sentiment words per unit time is then plotted for 'visualising' changes in sentiments.

引用

页码：363 / 368

页数：6