Introduction to Text Visualization

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 st

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Nan Cao Weiwei Cui

Introduction to Text Visualization

Atlantis Briefs in Artificial Intelligence Volume 1

Series editors Henrik Christensen, Atlanta, USA Bernhard Nebel, Freiburg, Germany Qiang Yang, Hong Kong, China

More information about this series at htttp://www.atlantis-press.com

Nan Cao Weiwei Cui •

Introduction to Text Visualization

Nan Cao IBM T. J. Watson Research Center Yorktown Heights, NY USA

Weiwei Cui Microsoft Research Asia Beijing China

Atlantis Briefs in Artificial Intelligence ISBN 978-94-6239-185-7 ISBN 978-94-6239-186-4 DOI 10.2991/978-94-6239-186-4

(eBook)

Library of Congress Control Number: 2016950403 © Atlantis Press and the author(s) 2016 This book, or any parts thereof, may not be reproduced for commercial purposes in any form or by any means, electronic or mechanical, including photocopying, recording or any information storage and retrieval system known or to be invented, without prior permission from the Publisher. Printed on acid-free paper

Acknowledgements

We would like to thank Prof. Yu-Ru Lin from University of Pittsburgh for her initial efforts on discussing the outline and the content of this book. We also would like to thank Prof. Qiang Yang from the Hong Kong University of Science and Technology who invited us to write the book.

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Contents

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1 1 8 9 10

2 Overview of Text Visualization Techniques . . . . . . . . . . . . 2.1 Review Scope and Taxonomy . . . . . . . . . . . . . . . . . . . 2.2 Visualizing Document Similarity . . . . . . . . . . . . . . . . . 2.2.1 Projection Oriented Techniques . . . . . . . . . . . . . 2.2.2 Semantic Oriented Techniques . . . . . . . . . . . . . 2.3 Revealing Text Content . . . . . . . . . . . . . . . . . . . . . . . . 2.3.1 Summarizing a Single Document . . . . . . . . . . . 2.3.2 Showing Content at the Word Level . . . . . . . . . 2.3.3 Visualizing Topics . . . . . . . . . . . . . . . . . . . . . . 2.3.4 Showing Events and Storyline . . . . . . . . . . . . . 2.4 Visualizing Sentiments and Emotions . . . . . . . . . . . . . . 2.5 Document Exploration Techniques . . . . . . . . . . . . . . . . 2.5.1 Distortion Based Approaches . . . . . . . . . . . . . . 2.5.2 Exploration Based on Document Similarity. . . . 2.5.3 Hierarchical Document Exploration . . . . . . . . . . 2.5.4 Search and Query Based Approaches . . . . . . . . 2.6 Summary of the Chapter . . . . . . . . . . . . . . . . . . . . . . . . References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

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11 11 13 13 15 16 16 18 21 24 28 31 32 32 33 33 34 35

3 Data Model . . . . . . . . . . . . . . . . . . . . . . . . .