Analyzing textual data by multiple word clouds

dc.contributor.author	Rodrigues, Nils	de
dc.date.accessioned	2013-12-05	de
dc.date.accessioned	2016-03-31T08:00:57Z
dc.date.available	2013-12-05	de
dc.date.available	2016-03-31T08:00:57Z
dc.date.issued	2013	de
dc.description.abstract	Word clouds are a good way to represent textual data with meta information. However, when it comes to analyzing multiple data sources, they are difficult to use. This is due to their poor comparability. The proposed RadCloud merges multiple standard clouds into a single one, while retaining the information about the origin of the words. Using separate clouds as well as this new visualization technique, a tool for textual data analysis is created: MuWoC. The resulting software is then evaluated by using it with multiple data sources ranging from encyclopedia articles, over literature to custom CSV files.	en
dc.identifier.other	398701903	de
dc.identifier.uri	http://nbn-resolving.de/urn:nbn:de:bsz:93-opus-88418	de
dc.identifier.uri	http://elib.uni-stuttgart.de/handle/11682/3218
dc.identifier.uri	http://dx.doi.org/10.18419/opus-3201
dc.language.iso	en	de
dc.rights	info:eu-repo/semantics/openAccess	de
dc.subject.ddc	004	de
dc.title	Analyzing textual data by multiple word clouds	en
dc.type	masterThesis	de
ubs.fakultaet	Fakultät Informatik, Elektrotechnik und Informationstechnik	de
ubs.institut	Institut für Visualisierung und Interaktive Systeme	de
ubs.opusid	8841	de
ubs.publikation.typ	Abschlussarbeit (Diplom)	de

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