DocumentCode
2019477
Title
Visualising sentiments in financial texts?
Author
Ahmad, Khurshid ; Almas, Yousif
Author_Institution
Dept. of Comput., Surrey Univ., UK
fYear
2005
fDate
6-8 July 2005
Firstpage
363
Lastpage
368
Abstract
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.
Keywords
data mining; data visualisation; financial data processing; natural languages; pattern recognition; text analysis; financial texts; information extraction; sentiment-bearing pattern extraction; sentiments visualization; unrestricted Arabic texts; Computer crashes; Data mining; Finance; Frequency; Instruments; Natural languages; Performance analysis; Speech; Visualization; Wire;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Visualisation, 2005. Proceedings. Ninth International Conference on
ISSN
1550-6037
Print_ISBN
0-7695-2397-8
Type
conf
DOI
10.1109/IV.2005.143
Filename
1509102
Link To Document