Title :
Analyzing and visualizing news trends over time
Author :
Tanisha, Lubaba F. ; Pathik, Bishwajit B. ; Khan, Manzur H. ; Habib, Md Mamun
Author_Institution :
Dept. of Comput. Sci., American Int. Univ.-Bangladesh (AIUB), Dhaka, Bangladesh
Abstract :
NewsVis provides the groundwork for a new kind of visualization to explore the news in a guided and manipulable fashion. With access to a large news data set, the tool provides control over news data by mapping a collection of news based on their similarity and dissimilarity into a two-dimensional space, which illustrates the most similar news in red and the opposite in blue. Thus showing a context the readers have not yet read. The tool applies query string analysis to a collection of text data. The resulting graphs show a total and individual occurrences of given query strings over a selected time period. News holding the selected query strings are also published sequentially as a list in the tool interface. NewsVis helps user to compare occurrences of specific news data, to discover cultural and historical trends and facts, challenge their assumptions to reveal hidden pictures.
Keywords :
data acquisition; data mining; data visualisation; electronic publishing; query processing; text analysis; time series; NewsVis; cultural trends; historical trends; large news data set access; news collection mapping; news dissimilarity; news exploration; news publishing; news trends visualization; query string analysis; text data collection; text mining; time series analysis; tool interface; two-dimensional space; Books; Context; Data visualization; Databases; Google; Libraries; Market research; Information visualization; NewsVis; Similarity mapping; Text mining; Time series analysis; Trend analysis;
Conference_Titel :
Industrial Engineering and Engineering Management (IEEM), 2014 IEEE International Conference on
DOI :
10.1109/IEEM.2014.7058649
