Extraction and Interactive Exploration of Knowledge from Aggregated News and Social Media Content

Arno Scharl; Alexander Hubmann-Haidvogel; Albert Weichselbraun; Gerhard Wohlgenannt; H.-P. Lang; M. Sabou

doi:10.1145/2305484.2305511

Extraction and Interactive Exploration of Knowledge from Aggregated News and Social Media Content

Arno Scharl, Alexander Hubmann-Haidvogel, Albert Weichselbraun, Gerhard Wohlgenannt, H.-P. Lang, M. Sabou

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

The webLyzard media monitoring and Web intelligence platform (www.webLyzard.com) presented in this paper is a generic tool for assessing the strategic positioning of an organization and the effectiveness of its communication strategies. The platform captures and aggregates large archives of digital content from multiple stakeholder groups. Each week it processes millions of documents and user comments from news media, blogs, Web 2.0 platforms such as Facebook, Twitter and YouTube, the Web sites of companies and NGOs, and other sources. An interactive dashboard with trend charts and complex map projections shows how often and where information is published. It also provides a real-time account of topics that stakeholders associate with an organization. Positive or negative sentiment is computed automatically, which reflects the impact of public relations and marketing campaigns.

Original language	English
Title of host publication	EICS '12 Proceedings of the 4th ACM SIGCHI symposium on Engineering interactive computing systems
Editors	J.C.; et al. Campos
Place of Publication	Copenhagen, Denmark
Publisher	Association for Computing Machinery (ACM)
Pages	163-168
Number of pages	6
ISBN (Print)	978-1-4503-1168-7
DOIs	https://doi.org/10.1145/2305484.2305511
Publication status	Published - Jun 2012
Event	4th ACM SIGCHI symposium on Engineering interactive computing systems - Denmark, Copenhagen, Denmark Duration: 25 Jun 2012 → 28 Jun 2012

Conference

Conference	4th ACM SIGCHI symposium on Engineering interactive computing systems
Country/Territory	Denmark
City	Copenhagen
Period	25/06/2012 → 28/06/2012

Keywords

Interactive exploration of information spaes
Social media monitoring tools
Web intelligence
Visual analytics

Access to Document

10.1145/2305484.2305511

http://eprints.weblyzard.com/50/1/scharl2012a-exploitationOfKnowledge.pdf

Cite this

Scharl, A., Hubmann-Haidvogel, A., Weichselbraun, A., Wohlgenannt, G., Lang, H.-P., & Sabou, M. (2012). Extraction and Interactive Exploration of Knowledge from Aggregated News and Social Media Content. In J. C. . E. A. Campos (Ed.), EICS '12 Proceedings of the 4th ACM SIGCHI symposium on Engineering interactive computing systems (pp. 163-168). Association for Computing Machinery (ACM). https://doi.org/10.1145/2305484.2305511

Scharl, Arno ; Hubmann-Haidvogel, Alexander ; Weichselbraun, Albert et al. / Extraction and Interactive Exploration of Knowledge from Aggregated News and Social Media Content. EICS '12 Proceedings of the 4th ACM SIGCHI symposium on Engineering interactive computing systems. editor / J.C.; et al. Campos. Copenhagen, Denmark : Association for Computing Machinery (ACM), 2012. pp. 163-168

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title = "Extraction and Interactive Exploration of Knowledge from Aggregated News and Social Media Content",

abstract = "The webLyzard media monitoring and Web intelligence platform (www.webLyzard.com) presented in this paper is a generic tool for assessing the strategic positioning of an organization and the effectiveness of its communication strategies. The platform captures and aggregates large archives of digital content from multiple stakeholder groups. Each week it processes millions of documents and user comments from news media, blogs, Web 2.0 platforms such as Facebook, Twitter and YouTube, the Web sites of companies and NGOs, and other sources. An interactive dashboard with trend charts and complex map projections shows how often and where information is published. It also provides a real-time account of topics that stakeholders associate with an organization. Positive or negative sentiment is computed automatically, which reflects the impact of public relations and marketing campaigns.",

keywords = "Interactive exploration of information spaes, Social media monitoring tools, Web intelligence , Visual analytics",

author = "Arno Scharl and Alexander Hubmann-Haidvogel and Albert Weichselbraun and Gerhard Wohlgenannt and H.-P. Lang and M. Sabou",

year = "2012",

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doi = "10.1145/2305484.2305511",

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booktitle = "EICS '12 Proceedings of the 4th ACM SIGCHI symposium on Engineering interactive computing systems",

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address = "United States",

note = "4th ACM SIGCHI symposium on Engineering interactive computing systems ; Conference date: 25-06-2012 Through 28-06-2012",

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Scharl, A, Hubmann-Haidvogel, A, Weichselbraun, A, Wohlgenannt, G, Lang, H-P & Sabou, M 2012, Extraction and Interactive Exploration of Knowledge from Aggregated News and Social Media Content. in JCEA Campos (ed.), EICS '12 Proceedings of the 4th ACM SIGCHI symposium on Engineering interactive computing systems. Association for Computing Machinery (ACM), Copenhagen, Denmark, pp. 163-168, 4th ACM SIGCHI symposium on Engineering interactive computing systems, Copenhagen, Denmark, 25/06/2012. https://doi.org/10.1145/2305484.2305511

Extraction and Interactive Exploration of Knowledge from Aggregated News and Social Media Content. / Scharl, Arno; Hubmann-Haidvogel, Alexander; Weichselbraun, Albert et al.
EICS '12 Proceedings of the 4th ACM SIGCHI symposium on Engineering interactive computing systems. ed. / J.C.; et al. Campos. Copenhagen, Denmark: Association for Computing Machinery (ACM), 2012. p. 163-168.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - The webLyzard media monitoring and Web intelligence platform (www.webLyzard.com) presented in this paper is a generic tool for assessing the strategic positioning of an organization and the effectiveness of its communication strategies. The platform captures and aggregates large archives of digital content from multiple stakeholder groups. Each week it processes millions of documents and user comments from news media, blogs, Web 2.0 platforms such as Facebook, Twitter and YouTube, the Web sites of companies and NGOs, and other sources. An interactive dashboard with trend charts and complex map projections shows how often and where information is published. It also provides a real-time account of topics that stakeholders associate with an organization. Positive or negative sentiment is computed automatically, which reflects the impact of public relations and marketing campaigns.

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Scharl A, Hubmann-Haidvogel A, Weichselbraun A, Wohlgenannt G, Lang HP, Sabou M. Extraction and Interactive Exploration of Knowledge from Aggregated News and Social Media Content. In Campos JCEA, editor, EICS '12 Proceedings of the 4th ACM SIGCHI symposium on Engineering interactive computing systems. Copenhagen, Denmark: Association for Computing Machinery (ACM). 2012. p. 163-168 doi: 10.1145/2305484.2305511

Extraction and Interactive Exploration of Knowledge from Aggregated News and Social Media Content

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