淡江大學機構典藏:Item 987654321/114498
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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/114498


    Title: 情感分析研究的知識結構
    Other Titles: The intellectual structure of sentiment analysis research
    Authors: 洪敬政;Hung, Ching-Cheng
    Contributors: 淡江大學資訊管理學系碩士在職專班
    戴敏育;Day, Min-Yuh
    Keywords: Bibliometrics;Opinion Mining;Scientific measurement;Sentiment analysis;Social Network Analysis;社會網路分析;科學計量;書目計量學;情感分析;意見探勘
    Date: 2017
    Issue Date: 2018-08-03 14:54:33 (UTC+8)
    Abstract: 情感分析 (Sentiment Analysis) 是辦識人類情緒及表達的系統化分析方法。網路上大量的情感分析資訊目前已能透過解構並提取出有意義價值的參考資訊。然而，卻很少有研究探討情感分析研究領域的知識背景和其發展過程。
    本研究蒐集分析關於情感分析研究領域的發表論文。透過科學計量方式試圖解構情感分析研究領域的知識結構，用以提供後續研究更多面向的研究切入角度。本研究貢獻在於剖析情感分析研究領域並分析高生產力作者及共同合作研究發表的國家與研究機構。透過社會網絡分析呈現情感分析研究之可視化關係圖，並發現分類 (Classification)為情感分析研究領域的重要主軸。
    Sentiment analysis is a systematic analysis method to identify human emotion and expression. Through deconstruction, meaningful and valuable reference information has now been able to be extracted from substantial sentiment analysis information on the internet. However, there are few researches discussing the background of knowledge and the developing process of sentiment analysis field.
    This study collected the published papers regarding sentiment analysis field, A systematic analysis the intellectual structure of sentiment analysis by using scientific quantitative method, providing choose to look at things from a different angles. The contribution of this study was the analysis of sentiment analysis and the statistics of highly productive authors and collaborative research publishing country and research institute. This study also view all the relationships associated with that element in a visual relationship diagram with social network analysis, finding out that classification are the important focuses on sentiment analysis research.
    Appears in Collections:[Graduate Institute & Department of Information Management] Thesis

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