TY - GEN
T1 - Applied visual exploration on real-time news feeds using polarity and geo-spatial analysis
AU - Krstajić, Miloš
AU - Bak, Peter
AU - Oelke, Daniela
AU - Keim, Daniel A.
AU - Atkinson, Martin
AU - Ribarsky, William
PY - 2010/9/10
Y1 - 2010/9/10
N2 - This paper presents a visual analytics approach to explore large news article collections in the domains of polarity and spatial analysis. The exploration is performed on the data collected with Europe Media Monitor (EMM), a system which monitors over 2500 online sources and processes 90,000 articles per day. By analyzing the news feeds, we want to find out which topics are important in different countries and what is the general polarity of the articles within these topics. To assess the polarity of a news article, automatic techniques for polarity analysis are employed and the results are represented using Literature Fingerprinting for visualization. In the spatial description of the news feeds, every article can be represented by two geographic attributes, the news origin and the location of the event itself. In order to assess these spatial properties of news articles, we conducted our geo-analysis, which is able to cope with the size and spatial distribution of the data. Within this application framework, we show opportunities how real-time news feed data can be analyzed efficiently.
AB - This paper presents a visual analytics approach to explore large news article collections in the domains of polarity and spatial analysis. The exploration is performed on the data collected with Europe Media Monitor (EMM), a system which monitors over 2500 online sources and processes 90,000 articles per day. By analyzing the news feeds, we want to find out which topics are important in different countries and what is the general polarity of the articles within these topics. To assess the polarity of a news article, automatic techniques for polarity analysis are employed and the results are represented using Literature Fingerprinting for visualization. In the spatial description of the news feeds, every article can be represented by two geographic attributes, the news origin and the location of the event itself. In order to assess these spatial properties of news articles, we conducted our geo-analysis, which is able to cope with the size and spatial distribution of the data. Within this application framework, we show opportunities how real-time news feed data can be analyzed efficiently.
KW - News feed application
KW - Sentiment analysis
KW - Spatiotemporal analysis
UR - http://www.scopus.com/inward/record.url?scp=77956322482&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:77956322482
SN - 9789896740252
T3 - WEBIST 2010 - Proceedings of the 6th International Conference on Web Information Systems and Technology
SP - 263
EP - 268
BT - WEBIST 2010 - Proceedings of the 6th International Conference on Web Information Systems and Technology
T2 - 6th International Conference on Web Information Systems and Technologies, WEBIST 2010
Y2 - 7 April 2010 through 10 April 2010
ER -