APPLIED VISUAL EXPLORATION ON REAL-TIME NEWS FEEDS USING POLARITY AND GEO-SPATIAL ANALYSIS
Miloš Krstajić, Peter Bak, Daniela Oelke, Daniel A. Keim, Martin Atkinson, William Ribarsky
2010
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 data 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.
References
- Atkinson, M. and Van der Goot, E. (2009). Near real time information mining in mulitlingual news. In WWW 7809: Proc. 18th int. conference on World Wide Web, pages 1153-1154. ACM.
- Bak, P., Keim, D. A., Schaefer, M., Stoffel, A., and Omer, I. (2009a). Spatiotemporal analysis of sensor logs using growth ring maps. In IEEE Trans. On Visualization And Computer Graphics. IEEE Press.
- Bak, P., Mansmann, F., Janetzko, H., and Keim, D. A. (2009b). Density equalizing distrortion of large geographic point sets. In J. of Cartographic and Geographic Information Science, volume 36(3).
- Gamon, M., Aue, A., Corston-Oliver, S., and Ringger, E. (2005). Pulse: Mining customer opinions from free text. In Advances in Intelligent Data Analysis VI, pages 121-132.
- Hu, M. and Liu, B. (2004). Mining and summarizing customer reviews. In KDD 7804: Proc. 10th ACM SIGKDD int. conference on Knowledge Discovery and Data Mining, pages 168-177. ACM.
- Keim, D. A., Bak, P., and Schaefer, M. (2009). Dense pixel displays. In Encyclopedia of Database Systems. Springer.
- Keim, D. A. and Oelke, D. (2007). Literature fingerprinting: A new method for visual literary analysis. In IEEE Symposium on Visual Analytics and Technology (VAST 2007), pages 115-122.
- Liu, B., Hu, M., and Cheng, J. (2005). Opinion observer: analyzing and comparing opinions on the web. In WWW 7805: Proc. 14th int. conference on World Wide Web, pages 342-351. ACM.
- Morinaga, S., Yamanishi, K., Tateishi, K., and Fukushima, T. (2002). Mining product reputations on the web. In KDD 7802: Proc. 8th ACM SIGKDD int. conference on Knowledge Discovery and Data Mining, pages 341- 349. ACM.
- Pang, B. and Lee, L. (2008). Opinion mining and sentiment analysis. Foundations and Trends in Information Retrieval, 2(1-2):1-135.
- Titov, I. and McDonald, R. (2008). A Joint Model of Text and Aspect Ratings for Sentiment Summarization. In Proceedings of ACL-08: HLT, pages 308-316. Assoc. for Computational Linguistics.
- Tobler, W. R. (2004). Thirty five years of computer cartograms. In Association of American Geographers, volume 94(1), pages 58-73.
- Wanner, F., Rohrdantz, C., Mansmann, F., Oelke, D., and Keim, D. A. (2009). Visual sentiment analysis of rss news feeds featuring the us presidential election in 2008. In Workshop on Visual Interfaces to the Social and the Semantic Web (VISSW 2009).
- Wiegand, M. and Klakow, D. (2008). Optimizing language models for polarity classification. In Macdonald, C., Ounis, I., Plachouras, V., Ruthven, I., and White, R. W., editors, ECIR, volume 4956 of Lecture Notes in Computer Science, pages 612-616. Springer.
- Yu, H. and Hatzivassiloglou, V. (2003). Towards answering opinion questions: separating facts from opinions and identifying the polarity of opinion sentences. In Proc. 2003 conference on Empirical methods in Natural Language Processing, pages 129-136. Assoc. for Computational Linguistics.
Paper Citation
in Harvard Style
Krstajić M., Bak P., Oelke D., A. Keim D., Atkinson M. and Ribarsky W. (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
in Bibtex Style
@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},
}
in EndNote Style
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