Title :
TrendFocus: Visualization of trends in financial news with indicator sets
Author :
Yik-Wai Ng ; Huamin Qu
Author_Institution :
Dept. of Comput. Sci. & Eng., Hong Kong Univ. of Sci. & Technol., Hong Kong, China
Abstract :
Although many current visualization approaches to time-series data can show a good general trend of a topic or theme over time, most cannot help people gain a deeper understanding of key issues. They may illustrate how some key issues come up and disappear from time to time, but they typically provide limited information about relationships of interest. Financial and economic analysts are often interested in how financial or economic performance indicators interplay or change over time. With a set of well-defined and commonly used equations or indicators in the domain of Economics and Finance, we can refine our visualization by keeping track of these variables. In this paper, we make use of a line plot layout to track some of these indicators and leverage word clouds to reveal how these indicators are affected by the changes in social and economic environments.
Keywords :
data visualisation; financial data processing; TrendFocus; economic analysts; economic environments; financial analysts; financial news; indicator sets; social environments; time-series data visualization approach; trend visualization; Color; Data visualization; Economic indicators; Market research; Semantics; Tag clouds; Domain Knowledge Visualization; Financial News Visualization; Trend Focus;
Conference_Titel :
Big Data and Smart Computing (BIGCOMP), 2014 International Conference on
Conference_Location :
Bangkok
DOI :
10.1109/BIGCOMP.2014.6741396