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Authors: Miloš Krstajić 1 ; Peter Bak 1 ; Daniela Oelke 1 ; Daniel A. Keim 1 ; Martin Atkinson 2 and William Ribarsky 3

Affiliations: 1 University of Konstanz, Germany ; 2 European Commission’s Joint Research Center, Italy ; 3 UNC Charlotte Visualization Center, United States

ISBN: 978-989-674-025-2

Keyword(s): News feed application, Sentiment analysis, Spatiotemporal analysis.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Data Engineering ; Enterprise Information Systems ; Health Information Systems ; Information Systems Analysis and Specification ; Knowledge Discovery and Information Retrieval ; Knowledge Management ; Knowledge-Based Systems ; Ontologies and the Semantic Web ; Society, e-Business and e-Government ; Soft Computing ; Symbolic Systems ; Web Information Systems and Technologies ; Web Mining

Abstract: 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. %These d ata are characterized by high overlapping and inefficient use of space. Spatial analysis of the news articles data employs Pixel Placement and Cartograms technique to deal with these challenges. Within this application framework, we show opportunities how real-time news feed data can be analyzed efficiently. (More)

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Paper citation in several formats:
Krstajić M.; Bak P.; Oelke D.; A. Keim D.; Atkinson M.; Ribarsky W. and (2010). APPLIED VISUAL EXPLORATION ON REAL-TIME NEWS FEEDS USING POLARITY AND GEO-SPATIAL ANALYSIS.In Proceedings of the 6th International Conference on Web Information Systems and Technology - Volume 1: WEBIST, ISBN 978-989-674-025-2, pages 263-268. DOI: 10.5220/0002769102630268

@conference{webist10,
author={Miloš Krstajić and Peter Bak and Daniela Oelke and Daniel {A. Keim} and Martin Atkinson and William Ribarsky},
title={APPLIED VISUAL EXPLORATION ON REAL-TIME NEWS FEEDS USING POLARITY AND GEO-SPATIAL ANALYSIS},
booktitle={Proceedings of the 6th International Conference on Web Information Systems and Technology - Volume 1: WEBIST,},
year={2010},
pages={263-268},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002769102630268},
isbn={978-989-674-025-2},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Web Information Systems and Technology - Volume 1: WEBIST,
TI - APPLIED VISUAL EXPLORATION ON REAL-TIME NEWS FEEDS USING POLARITY AND GEO-SPATIAL ANALYSIS
SN - 978-989-674-025-2
AU - Krstajić, M.
AU - Bak, P.
AU - Oelke, D.
AU - A. Keim, D.
AU - Atkinson, M.
AU - Ribarsky, W.
PY - 2010
SP - 263
EP - 268
DO - 10.5220/0002769102630268

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