Visualization of Special Features in “The Tale of Genji” by Text Mining and Correspondence Analysis with Clustering

Journal of Flow Control, Measurement & Visualization

ISSN Print: 2329-3322
ISSN Online: 2329-3330
www.scirp.net/journal/jfcmv
E-mail: [email protected]

"Visualization of Special Features in “The Tale of Genji” by Text Mining and Correspondence Analysis with Clustering"
written by Hisako Hosoi, Takayuki Yamagata, Yuya Ikarashi, Nobuyuki Fujisawa,
published by Journal of Flow Control, Measurement & Visualization, Vol.2 No.1, 2014

has been cited by the following article(s):

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[9]	Automatic Discrimination between Biomedical - Engineering and Clinical - Medicine Papers Based on Decision - Tree Algorithms: How Does the Term Usage Differ?
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[10]	Differences between the Quantitative Features of Articles from Biomedical Engineering and the Medical Sciences Aimed at Effective Retrieval of Literature
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[11]	Text Mining Technique to Distinguish between Clinical Medicine and Biomedical Engineering Research Articles
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[12]	The Concept of Ghostwriting from Literature to Film Music: The Moacir Santos Case of Study
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[1]	Text content analysis techniques that marketing managers must know: a comprehensive literature review and practical applications Expert Systems with Applications, 2026 DOI:10.1016/j.eswa.2025.129985

[2]	Developing the Digital Artifact for the Sustainability of Marketing Research Results Sustainability, 2019 DOI:10.3390/su11236554

[3]	Using correspondence analysis to select training set for multi-modal information data Cluster Computing, 2017 DOI:10.1007/s10586-017-0945-x

[4]	Effect of non-uniform temperature field in viscosity measurement Journal of Visualization, 2016 DOI:10.1007/s12650-015-0311-0

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