Understanding Massive Text Visualization

被引：0

作者：

Voltoline, Giovana ^{[1
]}

Pais, Sebastiao ^{[2
,3
]}

Silva, Bruno ^{[4
]}

Cordeiro, Joao ^{[5
]}

机构：

[1] Univ Beira Interior, Comp Sci Dept, Covilha, Portugal

[2] Univ Beira Interior, Covilha, Portugal

[3] NOVA LINCS, Covilha, Portugal

[4] Univ Beira Interior, Inst Telecommun, Covilha, Portugal

[5] Univ Beira Interior, INESC TEC Porto, Covilha, Portugal

来源：

PROCEEDINGS OF THE 2023 IEEE/ACM INTERNATIONAL CONFERENCE ON ADVANCES IN SOCIAL NETWORKS ANALYSIS AND MINING, ASONAM 2023 | 2023年

基金：

欧盟地平线“2020”;

关键词：

Massive Text; Text Visualization; Textual Data;

D O I：

10.1145/3625007.3627482

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Massive text visualization is a burgeoning field that addresses the visualization, exploration, and analysis of extensive textual datasets, encompassing various domains such as social media, scientific literature, news articles, and more. This paper overviews recent advances, challenges, and potential solutions in massive text visualization and systematically categorizes these works, focusing on shared characteristics such as objectives, preprocessing techniques, processing approaches, and visualization methods. This comprehensive analysis can better understand the current and emerging trends in massive text visualization.

引用

页码：706 / 711

页数：6

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