Title :
Visualising sentiments in financial texts?
Author :
Ahmad, Khurshid ; Almas, Yousif
Author_Institution :
Dept. of Comput., Surrey Univ., UK
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;
Conference_Titel :
Information Visualisation, 2005. Proceedings. Ninth International Conference on
Print_ISBN :
0-7695-2397-8
DOI :
10.1109/IV.2005.143
