Online Forums vs. Social Networks: Two Case Studies to Support eGovernment with Topic Opinion Analysis
| Autor: | Steve Taylor, Sergej Sizov, Timo Wandhöfer, Beccy Allen, Paul Walland |
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| Přispěvatelé: | Leibniz-Institute for the Social Sciences [Mannheim] (GESIS ), Hansard Society [London], University of Southampton, University of Koblenz-Landau, Maria A. Wimmer, Marijn Janssen, Hans J. Scholl, TC 8, WG 8.5 |
| Rok vydání: | 2013 |
| Předmět: |
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Computer science [SHS.INFO]Humanities and Social Sciences/Library and information sciences Controversy 02 engineering and technology World Wide Web Politics 0202 electrical engineering electronic engineering information engineering [INFO]Computer Science [cs] Online Forums business.industry 05 social sciences Topic Opinion Analysis eGovernment 16. Peace & justice Automatic summarization Toolbox Sentiment Opinion analysis Key (cryptography) 020201 artificial intelligence & image processing The Internet 0509 other social sciences 050904 information & library sciences business |
| Zdroj: | Lecture Notes in Computer Science ISBN: 9783642403576 EGOV Lecture Notes in Computer Science 12th International Conference on Electronic Government (EGOV) 12th International Conference on Electronic Government (EGOV), Sep 2013, Koblenz, Germany. pp.322-334, ⟨10.1007/978-3-642-40358-3_27⟩ |
| DOI: | 10.1007/978-3-642-40358-3_27 |
| Popis: | Part 5: Social Media and Social Network Analysis; International audience; This paper suggests how eGovernment and public services can apply “topic-opinion” analysis (developed in the EC IST FP7 WeGov project) on citizens’ opinions on the Internet. In many cases, discussion tracks on the Internet become quite long and complex. Stakeholders are often interested in gaining a quick overview of such a discussion, including understanding its thematic aspects, identifying key arguments and key users. The topic opinion analysis that is part of the WeGov toolbox aims to provide appropriate summarization techniques by identifying latent themes of discussion (topics), most relevant contributions and arguments for each topic, as well as identifying the most active users that influenced a certain aspect of discussion. In this paper we focus on online forums and social networks as digital places where users discuss potential political issues. Therefore we setup two different case studies to validate the accuracy and usefulness of analysis results of the topic opinion analysis. |
| Databáze: | OpenAIRE |
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