Yaqub, Kamran (2015)
Distributed Social Media Analysis on Microblog-Services for Policy Modeling.
Technische Universität Darmstadt
Masterarbeit, Bibliographie
Kurzbeschreibung (Abstract)
The increase in number of social media users provides the policy maker facility to benefit from this information communication channel. The policy maker from this feedback channel acquires the opinions of citizens and through this active participation of citizens, they are engaged in policy modeling process. The process starts with an acquisition of information, then storage of information and thereafter providing the information for statistics and visualizations. The use case implemented for the proof of concept is Twitter but the proposed system architecture is flexible enough to acquire the information from different social media channels, store the information after extracting the features and applying conversions, provides the information to visualization framework and incorporates distributed processing techniques. There are many existing systems for visualizations and textual content analysis for social media but none of the existing systems provide the facility to explore the whole discussions. The discussion track window provides the policy maker the most relevant and important information in such a way that can be easily explored in roll up and roll down fashion following the strategy to have an overview of information first and then filtered and detailed information on demand. Following this scheme, first topics in hierarchy are presented in discussion track window. Then posts and comments of post along with the sentiment are presented in order of their importance. The dynamic queries using AND, OR and NOT logical operators along with temporal and linked data information is helpful in this regard to get filtered information. The discussion track window eases the task of policy maker to explore information from different dimensions thus analyzing the opinions of citizens to have better orientation towards policy modeling.
| Typ des Eintrags: | Masterarbeit |
|---|---|
| Erschienen: | 2015 |
| Autor(en): | Yaqub, Kamran |
| Art des Eintrags: | Bibliographie |
| Titel: | Distributed Social Media Analysis on Microblog-Services for Policy Modeling |
| Sprache: | Englisch |
| Publikationsjahr: | 2015 |
| Kurzbeschreibung (Abstract): | The increase in number of social media users provides the policy maker facility to benefit from this information communication channel. The policy maker from this feedback channel acquires the opinions of citizens and through this active participation of citizens, they are engaged in policy modeling process. The process starts with an acquisition of information, then storage of information and thereafter providing the information for statistics and visualizations. The use case implemented for the proof of concept is Twitter but the proposed system architecture is flexible enough to acquire the information from different social media channels, store the information after extracting the features and applying conversions, provides the information to visualization framework and incorporates distributed processing techniques. There are many existing systems for visualizations and textual content analysis for social media but none of the existing systems provide the facility to explore the whole discussions. The discussion track window provides the policy maker the most relevant and important information in such a way that can be easily explored in roll up and roll down fashion following the strategy to have an overview of information first and then filtered and detailed information on demand. Following this scheme, first topics in hierarchy are presented in discussion track window. Then posts and comments of post along with the sentiment are presented in order of their importance. The dynamic queries using AND, OR and NOT logical operators along with temporal and linked data information is helpful in this regard to get filtered information. The discussion track window eases the task of policy maker to explore information from different dimensions thus analyzing the opinions of citizens to have better orientation towards policy modeling. |
| Freie Schlagworte: | Business Field: Visual decision support, Research Area: Human computer interaction (HCI), Social media analysis, Distributed processing, Policy modeling, Content filtering, Data analysis, Middleware, Visual analysis, Interactive data analysis, Interactive exploration, Decision support, Distributed processing |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Graphisch-Interaktive Systeme |
| Hinterlegungsdatum: | 10 Mai 2019 05:11 |
| Letzte Änderung: | 10 Mai 2019 05:11 |
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