English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 113160/144130 (79%)
Visitors : 50760098      Online Users : 695
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU 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
    Home ‧ Login ‧ Upload ‧ Help ‧ About ‧ Administer Goto mobile version
    政大機構典藏 > 商學院 > 資訊管理學系 > 會議論文 >  Item 140.119/75795


    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/75795


    Title: Apply the dynamic N-gram to extract the keywords of Chinese news
    Authors: Lin, Ren Xiang;Yang, Heng-Li
    楊亨利
    Contributors: 資管系
    Keywords: Information retrieval;Intelligent systems;Chinese word segmentation;Evaluation results;Explosive growth;Keywords extraction;News articles;Primary contribution;Word segmentation;Computational linguistics
    Date: 2014-06
    Issue Date: 2015-06-15 16:08:26 (UTC+8)
    Abstract: The explosive growth of information on the Internet has created a great demand for new and powerful tools to acquire useful information. The first step to retrieve information form Chinese article is word segmentation. But there are two major segmentation problems that might affect the accuracy of word segmentation performance, ambiguity and long words. In this paper, we propose a novel character-based approach, namely, dynamic N-gram (DNG) to deal with the two above problems of word segmentation and apply it to Chinese news articles to evaluate the accuracy of N-gram. The evaluation result indicated most of the readers agreed that dynamic N-gram approach could extract meaningful keywords. Even in different news categories, the keywords extraction results still have no significant difference. The primary contribution of this approach is that dynamic N-gram helps us to extract the most meaningful keywords in different types of Chinese articles without considering the number of grams. © 2014 Springer International Publishing Switzerland.
    Relation: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Volume 8482 LNAI, Issue PART 2, 2014, Pages 398-406, 27th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2014; Kaohsiung; Taiwan; 3 June 2014 到 6 June 2014; 代碼 107164
    Data Type: conference
    DOI 連結: http://dx.doi.org/10.1007/978-3-319-07467-2-42
    DOI: 10.1007/978-3-319-07467-2-42
    Appears in Collections:[資訊管理學系] 會議論文

    Files in This Item:

    File Description SizeFormat
    index.html0KbHTML21002View/Open


    All items in 政大典藏 are protected by copyright, with all rights reserved.


    社群 sharing

    著作權政策宣告 Copyright Announcement
    1.本網站之數位內容為國立政治大學所收錄之機構典藏，無償提供學術研究與公眾教育等公益性使用，惟仍請適度，合理使用本網站之內容，以尊重著作權人之權益。商業上之利用，則請先取得著作權人之授權。
    The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

    2.本網站之製作，已盡力防止侵害著作權人之權益，如仍發現本網站之數位內容有侵害著作權人權益情事者，請權利人通知本網站維護人員(nccur@nccu.edu.tw)，維護人員將立即採取移除該數位著作等補救措施。
    NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback