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Introduction to Text Visualization [electronic resource] / by Nan Cao, Weiwei Cui.

By: Cao, Nan [author.].
Contributor(s): Cui, Weiwei [author.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Atlantis Briefs in Artificial Intelligence: 1Publisher: Paris : Atlantis Press : Imprint: Atlantis Press, 2016Description: VIII, 114 p. 81 illus., 71 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9789462391864.Subject(s): Computer science | Data mining | Multimedia information systems | User interfaces (Computer systems) | Computer graphics | Computer Science | User Interfaces and Human Computer Interaction | Computer Graphics | Multimedia Information Systems | Data Mining and Knowledge DiscoveryAdditional physical formats: Printed edition:: No titleDDC classification: 005.437 | 4.019 Online resources: Click here to access online
Contents:
Introduction -- Overview of Text Visualization Techniques -- Data Model -- Visualizing Document Similarity -- Visualizing Document Content -- Visualizing Sentiments and Emotions.
In: Springer eBooksSummary: This book provides a systematic review of many advanced techniques to support the analysis of large collections of documents, ranging from the elementary to the profound, covering all the aspects of the visualization of text documents. Particularly, we start by introducing the fundamental concept of information visualization and visual analysis, followed by a brief survey of the field of text visualization and commonly used data models for converting document into a structured form for visualization. Then we introduce the key visualization techniques including visualizing document similarity, content, sentiments, as well as text corpus exploration system in details with concrete examples in the rest of the book.
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Introduction -- Overview of Text Visualization Techniques -- Data Model -- Visualizing Document Similarity -- Visualizing Document Content -- Visualizing Sentiments and Emotions.

This book provides a systematic review of many advanced techniques to support the analysis of large collections of documents, ranging from the elementary to the profound, covering all the aspects of the visualization of text documents. Particularly, we start by introducing the fundamental concept of information visualization and visual analysis, followed by a brief survey of the field of text visualization and commonly used data models for converting document into a structured form for visualization. Then we introduce the key visualization techniques including visualizing document similarity, content, sentiments, as well as text corpus exploration system in details with concrete examples in the rest of the book.

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