Visual-Interactive Text Analysis to Support Political Decision Making - From Sentiments to Arguments to Policies (Unknown language)

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Political decision making involves the evaluation of alternative solutions (so called policy models) to a given societal problem and the selection of the most promising one. Large amounts of textual information to be considered in decision making processes can be found on the web. This includes general information about policy models, individual arguments in favor or against these policies, and public opinions. Monitoring large text collections and extracting the relevant information is time consuming. In this approach we present a visual analytics system that supports users in assessing the results of automatic text analysis methods. The methods extract text segments from large document collections and associate them with predefined policy domains, policy models, and policy arguments. Moreover, sentiment analysis is applied on the text segments. Visualization techniques provide non-IT experts an intuitive access to the results. With the system, users can monitor public debates on the web. In addition, we analyze concepts that enable the user to give visual-interactive feedback on the text analysis results. This direct user feedback can help to improve the accuracy of individual text analysis modules and the credibility of the overall text analysis process. The system was tested with real users from the political decision making domain.

Table of contents conference proceedings

The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.

1
Supporting Historical Research Through User-Centered Visual Analytics
Boukhelifa, Nadia / Giannisakis, Emmanouil / Dimara, Evanthia / Willett, Wesley / Fekete, Jean-Daniel | 2015
7
Inspector Gadget: Integrating Data Preprocessing and Orchestration in the Visual Analysis Loop
Krüger, Robert / Herr, Dominik / Haag, Florian / Ertl, Thomas | 2015
13
Visual Scaffolding in Integrated Spatial and Nonspatial Analysis
Marai, G. Elisabeta | 2015
19
Interactive Image Feature Selection Aided by Dimensionality Reduction
Rauber, Paulo Eduardo / Silva, Renato Rodrigues Oliveira da / Feringa, Sander / Celebi, M. Emre / Falcão, Alexandre X. / Telea, Alexandru C. | 2015
25
The Use of High-Dimensional Visualizations in Explaining Hospital Pricing Patterns
Perkins, Miriam / Grinstein, Georges | 2015
31
Attribute-based Visual Explanation of Multidimensional Projections
Silva, Renato R. O. da / Rauber, Paulo E. / Martins, Rafael M. / Minghim, Rosane / Telea, Alexandru C. | 2015
37
Visual-Interactive Text Analysis to Support Political Decision Making - From Sentiments to Arguments to Policies
Ruppert, Tobias / Bernard, Jürgen / Lücke-Tieke, Hendrik / May, Thorsten / Kohlhammer, Jörn | 2015
43
Trajectory-based Visual Analytics for Anomalous Human Movement Analysis using Social Media
Chae, Junghoon / Cui, Yuchen / Jang, Yun / Wang, Guizhen / Malik, Abish / Ebert, David S. | 2015
49
Integrated Spatial Uncertainty Visualization using Off-screen Aggregation
Jäckle, Dominik / Senaratne, Hansi / Buchmüller, Juri / Keim, Daniel A. | 2015
55
Visual Analytics and Uncertainty: Its Not About the Data
MacEachren, Alan M. | 2015
61
Visual Analysis of Relations in Attributed Time-Series Data
Steiger, Martin / Bernard, Jürgen / Schader, Philipp / Kohlhammer, Jörn | 2015
67
Exploration and Assessment of Event Data
Bodesinsky, Peter / Alsallakh, Bilal / Gschwandtner, Theresia / Miksch, Silvia | 2015
73
Integrating Predictions in Time Series Model Selection
Bögl, Markus / Aigner, Wolfgang / Filzmoser, Peter / Gschwandtner, Theresia / Lammarsch, Tim / Miksch, Silvia / Rind, Alexander | 2015
79
Gnaeus: Utilizing Clinical Guidelines for Knowledge-assisted Visualisation of EHR Cohorts
Federico, Paolo / Unger, Jürgen / Amor-Amorós, Albert / Sacchi, Lucia / Klimov, Denis / Miksch, Silvia | 2015
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