Kaleidographic A data visualization tool

被引:2
|
作者
Caple, Helen [1 ]
Anthony, Laurence [2 ]
Bednarek, Monika [3 ]
机构
[1] UNSW Sydney, Sch Arts & Media, 311Q,Level 3 Robert Webster, Sydney, NSW 2052, Australia
[2] Waseda Univ, Fac Sci & Engn, Tokyo, Japan
[3] Univ Sydney, Dept Linguist, Sydney, NSW, Australia
基金
澳大利亚研究理事会;
关键词
data visualization; Kaleidographic; multimodality; software; text analysis tools; TEXT;
D O I
10.1075/ijcl.18038.cap
中图分类号
H0 [语言学];
学科分类号
030303 ; 0501 ; 050102 ;
摘要
Kaleidographic is a dynamic and interactive data visualization tool that allows users to observe and explore relations between any number of variables. The tool is useful for displaying the complex ways in which textual elements interact across a range of texts. Thus far, the tool has been used to display the results of corpus studies as well as corpus-assisted multimodal discourse analyses that investigate text-image relations. To facilitate broader applications of the tool, it is now publicly available online for use without charge. This paper explains the background and motivation for Kaleidographic and presents two case studies demonstrating its utility. Limitations of the tool are discussed and its potential uses in corpus linguistics research and beyond are introduced.
引用
收藏
页码:245 / 261
页数:17
相关论文
共 50 条
  • [1] Using Kaleidographic to visualize multimodal relations within and across texts
    Caple, Helen
    Bednarek, Monika
    Anthony, Laurence
    VISUAL COMMUNICATION, 2018, 17 (04) : 461 - 474
  • [2] Learning Tableau: A data visualization tool
    Batt, Steven
    Grealis, Tara
    Harmon, Oskar
    Tomolonis, Paul
    JOURNAL OF ECONOMIC EDUCATION, 2020, 51 (3-4): : 317 - 328
  • [3] Blockmap: an interactive visualization tool for big-data networks
    Frantz, Terrill L.
    COMPUTATIONAL AND MATHEMATICAL ORGANIZATION THEORY, 2018, 24 (02) : 149 - 168
  • [4] Blockmap: an interactive visualization tool for big-data networks
    Terrill L. Frantz
    Computational and Mathematical Organization Theory, 2018, 24 : 149 - 168
  • [5] A new visualization tool for data mining techniques
    Martinez-Martinez, Jose M.
    Escandell-Montero, Pablo
    Soria-Olivas, Emilio
    Martin-Guerrero, Jose D.
    Serrano-Lopez, Antonio J.
    PROGRESS IN ARTIFICIAL INTELLIGENCE, 2016, 5 (02) : 137 - 154
  • [6] KiData: simple data visualization tool for future data scientists
    Hamouda, Sally
    Kancharla, Sahith
    Singh, Gurkirat
    Yang, Lin
    Wang, Zhuoqun
    Zhang, Siliang
    Nirjhar, Raseen
    Golden, John
    FRONTIERS IN COMPUTER SCIENCE, 2023, 5
  • [7] Data Visualization Tool for Covid-19 and Crime Data
    Walker, Sean
    Sharma, Sharad
    2021 INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND COMPUTATIONAL INTELLIGENCE (CSCI 2021), 2021, : 238 - 242
  • [8] Brain Recording Analysis and Visualization Online (BRAVO): An open-source visualization tool for deep brain stimulation data
    Cagle, Jackson N.
    Johnson, Kara A.
    Almeida, Leonardo
    Wong, Joshua K.
    Ramirez-Zamora, Adolfo
    Okun, Michael S.
    Foote, Kelly D.
    de Hemptinne, Coralie
    BRAIN STIMULATION, 2023, 16 (03) : 793 - 797
  • [9] WebScope: A New Tool for Fusion Data Analysis and Visualization
    Dang, Ningning
    Yang, Fei
    Xiao, Bingjia
    Zhu, Yingfei
    2009 16TH IEEE-NPSS REAL TIME CONFERENCE, 2009, : 141 - 143
  • [10] VIM: A Big Data Analytics Tool for Data Visualization and Knowledge Mining
    Arafat, Sk. Shariful Islam
    Hossain, Md Shakil
    Hasan, Md. Mahmudul
    Imam, S. M. Al-Hossain
    Islam, Md. Mofijul
    Saha, Sanjay
    Shatabda, Swakkhar
    Juthi, Tamanna Islam
    2017 IEEE INTERNATIONAL WIE CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING (IEEE WIECON-ECE 2017), 2017, : 224 - 227