博碩士論文 etd-0727111-144058 詳細資訊

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姓名 蕭詠霖(Yung-Lin Hsiao) 電子郵件信箱 man74115@gmail.com
畢業系所 資訊管理學系研究所(Information Management)
畢業學位 碩士(Master) 畢業時期 99學年第2學期
論文名稱(中) 一種根植於消費者資訊搜尋流程模式之旅遊文章分類的方法   
論文名稱(英) On Travel Article Classification Based on Consumer Information Search Process Model
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    摘要(中) 資訊科技的蓬勃發展導致資訊量的激增，資訊超載的問題也越來越被受到重視，使用者需要一些代理媒介來過濾資訊以期符合使用者的資訊需求。在本篇論文裡，我們研究如何將旅遊領域的文章分類，以便找出符合使用者資訊需求的文章；我們提出了一個在旅遊領域裡資訊需求導向的資訊搜尋模型，包含了：初始、景點、住宿和路徑規劃這四個資訊搜尋目標，這些目標可以藉由13個特徵去描述。當中某些特徵可以藉由WordNet和Named Entity Recognition這些技術來加強或擴充。為了測試這13個特徵和提出的相關方法在文章分類的效果，我們從網路上最大的旅遊網站─TripAdvisor.com─收集了15,797篇文章，並從其中隨機的選出了600篇的文章來當作我們的訓練資料，實驗結果顯示我們的方法普遍可以和單純使用詞彙當作分類特徵的TFIDF方法匹敵甚至是超越它。
    摘要(英) The information overload problem becomes imperative with the explosion of information, and people need some agents to facilitate them to filter the information to meet their personal need. In this work, we conduct a research for the article classification in the tourism domain so as to identify articles that meet users’ information need. We propose an information need orientation model in tourism, which consists of four goals: Initiation, Attraction, Accommodation, and Route planning. These goals can be characterized by 13 features. Some of the identified features can be enhanced by WordNet and Named Entity Recognition techniques as supplement techniques. To test the effectiveness of using the 13 features for classification and the relevant methods, we collected 15,797 articles from TripAdvisor.com, the world's largest travel site, and randomly selected 600 articles as training data labeled by two labelers. The experimental results show that our approach generally has comparable or better performance than that of using purely lexical features, namely TF-IDF, for classification, with fewer features.
    關鍵字(中)
  • 本體論
  • 命名實體辨識
  • 文件分類
  • 旅遊文章分類
  • 資訊搜尋模型
    		• 關鍵字(英)
  • travel article classification
  • text categorization
  • ontology
  • named entity recognition
  • information search model
    • 論文目次 摘要 i
    Abstract ii
    TABLE OF CONETENS iii
    LIST OF FIGURES v
    LIST OF TABLES vi
    CHAPTER 1 - Introduction 1
    1.1. Background 1
    1.2. Motivation 2
    1.3. THESIS ORGANIZATION 3
    CHAPTER 2 - Literature Review 5
    2.1. Text Categorization 5
    2.2. Travel Recommender Systems 7
    2.3. Consumer Information Search Behaviors 9
    2.3.1. Tourist Information Search Behavior 12
    2.4. Social Media 15
    2.4.1 Online Travel Reviews 16
    CHAPTER 3 - The Model 19
    3.1. Initiation 23
    3.2. Attraction 24
    3.3. Accommodation 25
    3.4. Route planning 26
    CHAPTER 4 - Method 28
    4.1. Lexicon-based method 29
    4.2. WordNet-enhanced method 32
    4.3. NER-enhanced method 33
    4.4. WordNet-NER-enhanced method 35
    CHAPTER 5 - Evaluation 39
    5.1. Datasets 39
    5.2. Hypotheses Verification 41
    5.3. Experiment Design for Classification 43
    5.4. Performance Results 46
    CHAPTER 6 - Conclusion 51
    6.1. Limitation and future work 51
    References 53
    Appendix A 59
    Appendix B 60
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    口試委員
  • 張德民 - 召集委員
  • 楊婉秀 - 委員
  • 郭珍利 - 委員
  • 江祥立 - 指導教授
  • 黃三益 - 指導教授
    • 口試日期 2011-07-08 繳交日期 2011-07-27

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