Visualising Sentiments in Financial Texts?

  • Authors:
  • Khurshid Ahmad;Yousif Almas

  • Affiliations:
  • University of Surrey;University of Surrey

  • Venue:
  • IV '05 Proceedings of the Ninth International Conference on Information Visualisation
  • Year:
  • 2005

Quantified Score

Hi-index 0.00

Visualization

Abstract

An information extraction system that extracts ýsentimentý 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 ývisualisingý changes in sentiments.