淡江大學機構典藏:Item 987654321/94269
English  |  正體中文  |  简体中文  |  Items with full text/Total items : 62822/95882 (66%)
Visitors : 4028310      Online Users : 570
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/94269


    Title: 網路意見分析與意見調查比較之研究 : 以公共議題為例
    Other Titles: Study of comparing techniques of online textual opinion analysis and public opinion poll : a case study of the public issue
    Authors: 陳維君;Chen, Wei-Chun
    Contributors: 淡江大學資訊管理學系碩士班
    蕭瑞祥;Shaw, Ruey-Shiang
    Keywords: 網路意見分析;意見調查;公共議題;Online Textual Opinion Analysis;Public Opinion Poll;Public Issue;CopeOpi
    Date: 2013
    Issue Date: 2014-01-23 14:14:26 (UTC+8)
    Abstract: 意見調查指透過詢問的回答方式,蒐集回答者感覺或意見的資料蒐集方法,具有花費時間與成本高等缺點;網路意見分析指從網路資訊中進行意見分析能夠自動分析大量的資料,比起意見調查具有效率較高等優勢。因此本研究主旨於利用部落格與微網誌進行網路意見分析,並與意見調查比較以公共議題為例,除了比較傳統民調並將網路意見製成意見摘要,期望本研究能提供未來社會公共議題研究者之參考。研究方法為系統發展研究法,建置網路意見分析的雛型系統,發展各系統功能包含網頁擷取技術、資料前處理、CopeOpi網路意見分析工具進行意見分析與意見摘要步驟。研究結果顯示「廢除死刑」議題的結果與民調結果的意見傾向趨勢相同,且系統評估的結果為負面意見效能最好,可推知網友有負面情緒時較易於發表在網路平台上。總結而言,此研究希望能透過將網路意見分析技術運用於公共議題上期望能達到輔助民調的效果,聆聽網路上之意見聲音。
    Opinion poll is a survey of public opinion from a particular sample which has time wasting and high cost problem; Online textual opinion analysis is a text mining technique to analyze the sentiment of the writer or the topic written about, which is more efficient than opinion poll. Therefore, this article aims on the effectiveness of using online textual opinion analysis technique from blogs and micro-blogs for public issue. Apart from comparing to the opinion poll of telecommunications, we look forward to offering the public issue researchers a reference in the future. This study adopts Systems Development Methodology, and it uses a web crawler, data preprocessor, CopeOpi online textual opinion analysis and opinion summarization to build an online textual opinion analysis system. Results of this study showed that the tendency of "death penalty" is close to that of a telephone interview; moreover, the negative emotions seem to trigger expressions of opinions on the web platform. In conclusion, this study may be important in assisting opinion poll to increase efficiency on the internet.
    Appears in Collections:[Graduate Institute & Department of Information Management] Thesis

    Files in This Item:

    File SizeFormat
    index.html0KbHTML357View/Open

    All items in 機構典藏 are protected by copyright, with all rights reserved.


    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - Feedback