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政大典藏 > College of Commerce > Department of MIS > Periodical Articles > Item 140.119/73489

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/73489

Title:	The Research of Multi-Layer Topic Map Analysis using Co-word Analysis with Growing Hierarchical Self-organizing Map
Authors:	蔡瑞煌 Yang, Yu-Hsiang;Tsaih, Rua-Huan;Bhikshu, Huimin
Contributors:	資管系
Keywords:	Topic-map;Co-word;Growing Hierarchical Self-Organizing Map;GHSOM;Altruism
Date:	2011
Issue Date:	2015-02-12 12:22:54 (UTC+8)
Abstract:	The purpose of this study was to propose a multi-layer topic map analysis using co-word analysis of informetrics with Growing Hierarchical Self-Organizing Map (GHSOM). The topic map illustrated the delicate intertwining of subject areas and provided a more explicit illustration of the concepts within each subject area. We applied GHSOM, a text-mining Neural Networks tool, to obtain a hierarchical topic map. After taking up one example of altruism in evaluation, we suggest that topic map may disclose some important facts from a whole bunch of data.
Relation:	International Journal of Digital Content Technology and its Applications,5(3),355-363
Data Type:	article
DOI link:	http://dx.doi.org/10.4156/jdcta.vol5.issue3.35
DOI:	10.4156/jdcta.vol5.issue3.35
Appears in Collections:	[Department of MIS] Periodical Articles

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