The research of multi-layer topic map analysis using co-word analysis with growing hierarchical self-organizing map

被引：0
|
作者：
Yang Y.-H. [1 ]
Tsaih R.-H. [1 ]
Bhikshu H. [2 ]
机构：
[1] Dept. of Management Information Systems, National Chengchi University
[2] Dharma Drum Buddhist College, General Education, Taipei National University of the Arts
来源：
International Journal of Digital Content Technology and its Applications | 2011年 / 5卷 / 03期
关键词：
Altruism; Co-word; GHSOM; Growing Hierarchical Self-Organizing Map; Topic-map;
D O I：
10.4156/jdcta.vol5.issue3.35
中图分类号：
学科分类号：
摘要：
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.
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页码：355 / 363
页数：8
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