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    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/18982

    Title: Using Queried Keywords or Full-text Extracted Keywords in Blog Mining
    Authors: 陳宜惠;Chen, Yi-Hui
    Contributors: 資訊多媒體應用學系
    Keywords: Blog network, blog mining, information retrieval
    Date: 2012-03
    Issue Date: 2012-11-26 15:11:42 (UTC+8)
    Abstract: In recent years, increasingly worthy content and
    reliable information have been disseminated on blogs. This
    means that readers are accustomed to searching information
    from blogs. However, the number of blogs has increased
    tremendously, so it is difficult to identify related information in
    the enormous number of existing articles. In general, the
    keyword is used as the basic method for readers to filter
    unimportant information via search engines. Keywords can be
    seen as reflecting the essence of an article. That is, a full-length
    article can be referenced through several keywords. As a result,
    if the keywords chosen for an article are accurate, the users’
    intentions will be satisfied. Therefore, the methods for selecting
    accurate keywords are critical. One general approach generates
    keywords by applying full-text keywords retrieval process, but
    it is a time-consuming process for handling the enormous
    number of articles. In this paper, to save time in generating
    keywords via full-text keywords retrieval process, a system
    called Blog Connect is proposed to embed the tracing code for
    selecting queried keywords as keyword candidates. Experiments
    provided positive data to confirm the effectiveness of the
    proposed method.
    Relation: International MultiConference of Engineers and Computer Scientists 2012
    Appears in Collections:[行動商務與多媒體應用學系] 期刊論文

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