淡江大學機構典藏:Item 987654321/94410
English  |  正體中文  |  简体中文  |  Items with full text/Total items : 64191/96979 (66%)
Visitors : 8165702      Online Users : 7425
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/987654321/94410


    Title: 中文意見探勘系統之文法句型規則整合
    Other Titles: Grammatical pattern rules integration for Chinese opinion mining system
    Authors: 林漢望;Lin, Han-Wang
    Contributors: 淡江大學資訊工程學系碩士在職專班
    蔣璿東;Chiang, Rui-Dong
    Keywords: 中文意見探勘系統;意見詞;Chinese Opinion Mining System;Opinion Word
    Date: 2013
    Issue Date: 2014-01-23 14:36:04 (UTC+8)
    Abstract: 因為網際網路的快速發展,廠商與消費者可以從網路上獲得具有參考價值的評論文章,但是,閱覽許多文章非常耗費時間,這也是本研究要改善的方向。
    本研究建置一套中文意見探勘系統,針對特定領域進行分析,本論文運用演算法對論壇網站Mobile01上的電信領域文章進行分析,同時搭配人工針對演算法結果進行意見詞的標記工作,以提高意見詞的正確性,並提供分析圖表,使User可快速取得正確且客觀的資訊。
    In the wake of rapid internet developing, review articles of reference value can be obtained from networks by both makers and consumers, however, the reading of the massive articles becomes very time consuming, and this is what the study aims at.
    The study established a Chinese opinion mining system, where algorithms were employed specific to special domain, analysis conducted, meanwhile matched with manual markup job for opinion words on algorithm results, to enhance accuracy of opinion words, and provide analysis diagrams, so that accurate and objective information can be obtained by users rapidly.
    Appears in Collections:[Graduate Institute & Department of Computer Science and Information Engineering] Thesis

    Files in This Item:

    File SizeFormat
    index.html0KbHTML254View/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