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    政大機構典藏 > 商學院 > 資訊管理學系 > 期刊論文 >  Item 140.119/73489
    Please use this identifier to cite or link to this item: http://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 連結: http://dx.doi.org/10.4156/jdcta.vol5.issue3.35
    DOI: 10.4156/jdcta.vol5.issue3.35
    Appears in Collections:[資訊管理學系] 期刊論文

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