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Open Access

WordleNet: A Visualization Approach for Relationship Exploration in Document Collection

Xu WangZuowei CuiLei JiangWenhuan LuJie Li( )
College of Intelligence and Computing, Tianjin University, China.
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Abstract

Document collections do not only contain rich semantic content but also a diverse range of relationships. We propose WordleNet, an approach to supporting effective relationship exploration in document collections. Existing approaches mainly focus on semantic similarity or a single category of relationships. By constructing a general definition of document relationships, our approach enables the flexible and real-time generation of document relationships that may not otherwise occur to human researchers and may give rise to interesting patterns among documents. Multiple novel visual components are integrated in our approach, the effectiveness of which has been verified through a case study, a comparative study, and an eye-tracking experiment.

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Tsinghua Science and Technology
Pages 384-400
Cite this article:
Wang X, Cui Z, Jiang L, et al. WordleNet: A Visualization Approach for Relationship Exploration in Document Collection. Tsinghua Science and Technology, 2020, 25(3): 384-400. https://doi.org/10.26599/TST.2019.9010005

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Received: 01 December 2018
Revised: 28 January 2019
Accepted: 11 March 2019
Published: 07 October 2019
© The author(s) 2020

The articles published in this open access journal are distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).

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