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https://ah.lib.nccu.edu.tw/handle/140.119/73489
題名: | The Research of Multi-Layer Topic Map Analysis using Co-word Analysis with Growing Hierarchical Self-organizing Map | 作者: | 蔡瑞煌 Yang, Yu-Hsiang;Tsaih, Rua-Huan;Bhikshu, Huimin |
貢獻者: | 資管系 | 關鍵詞: | Topic-map; Co-word; Growing Hierarchical Self-Organizing Map; GHSOM; Altruism | 日期: | 2011 | 上傳時間: | 12-Feb-2015 | 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. | 關聯: | International Journal of Digital Content Technology and its Applications,5(3),355-363 | 資料類型: | article | DOI: | http://dx.doi.org/10.4156/jdcta.vol5.issue3.35 |
Appears in Collections: | 期刊論文 |
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