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

Citation

[scharl2012a, self.bib] Scharl, Arno, Hubmann-Haidvogel, Alexander, Weichselbraun, Albert, Wohlgenannt, Gerhard, Lang, Heinz-Peter and Sabou, Marta (2012). ''Extraction and Interactive Exploration of Knowledge from Aggregated News and Social Media Content'', Fourth ACM SIGCHI Symposium on Engineering Interactive Computing Systems (EICS-2012), Association for Computing Machinery, pages 163-168

Abstract

The webLyzard media monitoring and Web intelligence platform (www.webLyzard.com) presented in this paper is a flexible tool for assessing the positioning of an organization and the effectiveness of its communications. The platform aggregates large archives of digital content from multiple stakeholders. Each week it processes millions of documents and user comments from news media, blogs, Web 2.0 platforms such as Facebook, Twitter and YouTube, and the Web sites of companies and NGOs. 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 spaces, social media monitoring tools, Web intelligence, visual analytics, user interfaces

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