Title page for 964203033


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Student Number 964203033
Author Chien-Yao Wang(王建堯)
Author's Email Address No Public.
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Department Information Management
Year 2008
Semester 2
Degree Master
Type of Document Master's Thesis
Language zh-TW.Big5 Chinese
Title Applying User Profile to Explore the Importance of Adjectives’ Position in Review Classification
Date of Defense 2009-06-17
Page Count 43
Keyword
  • opinion mining
  • review classification
  • user profile
  • Abstract With the rapid developing of Web 2.0, more and more blogs and forums appear, and more and more people post reviews on the Web. The online review is becoming a useful and important information resource for people.
    However, the number of reviews can be in hundreds. These reviews must be processed so that user may read them easily, e.g. classifying them automatically into two polarities (positive and negative), or doing opinion mining.
    Adjective is an important factor in review classification and opinion mining. The adjectives in a review can usually show the orientation of the review, either positive or negative. Therefore, the semantic orientation of adjectives and the term frequency of adjectives are the basis of review classification in such researches.
    In order to increase the performance of the review classification, this research has aimed to expand the useful attribute of adjectives. Some researches of Information Retrieval show that the words in different paragraphs have different meaning to the document, so this research considers whether the adjectives in different paragraphs have different meaning to the review. To examine this adjective characteristic, this research has applied user profiles to under manage the position of the adjective to uncover its influence on the accuracy of review classification. The experimental results show that the position of adjectives in reviews is an effective factor on review classification.
    Table of Content 第1章 緒論1
    1-1 研究背景與動機1
    1-2 研究目的2
    1-3 研究範圍與限制2
    1-4 研究流程3
    1-5 論文架構4
    第2章 文獻探討5
    2-1 意見探勘5
    2-2 評論分類8
    2-3 字詞權重11
    2-4 使用者興趣檔14
    第3章 系統設計16
    3-1 系統流程16
    3-2 系統架構24
    第4章 實驗分析28
    4-1 實驗設計與流程28
    4-2 實驗結果與分析30
    第5章 結論37
    5-1 研究結論與貢獻37
    5-2 未來研究方向38
    參考文獻40
    Reference 英文部分
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    [13]Kamps, J. and Marx, M. (2002), “Words with attitude,” Proceedings of the First International Conference on Global WordNet, Mysore, India, January 2002, pp. 332-341.
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    [16]Liu, B., Hu, M. and Cheng, J. (2005), “Opinion observer: Analyzing and comparing opinions on the web,” Proceedings of the 14th International Conference on World Wide Web, Chiba, Japan, May 2005, pp. 342-351.
    [17]Miller, G., Beckwith, R., Fellbaum, C., Gross, D. and Miller, K. (1990), “Introduction to WordNet: An on-line lexical database,” International Journal of Lexicography, Vol.3 No.4, pp. 235-312.
    [18]Pang, B., Lee, L. and Vaithyanathan, S. (2002), “Thumbs up? Sentiment classification using machine learning techniques,” Proceedings of the ACL-02 Conference on Empirical Methods in Natural Language Processing, Philadelphia P.A., U.S.A., July 2003, pp. 279-286.
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    [23]Turney, P. D. (2001), “Mining the web for synonyms: PMI-IR versus LSA on TOEFL,” Proceedings of the Twelfth European Conference on Machine Learning, Freiburg, Germany, September 2001, pp. 491-502.
    [24]Turney, P. D. (2002), “Thumbs up or thumbs down? Semantic orientation applied to unsupervised classification of reviews,” Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics, Philadelphia, Pennsylvania, July 2002, pp. 417-424.
    [25]Turney, P. D. and Littman, M. L. (2003), “Measuring praise and criticism: Inference of semantic orientation from association,” ACM Transactions on Information Systems, Vol.21 No.40, pp. 315-346.
    [26]Wiebe, J. M. (2000), “Learning subjective adjectives from corpora,” Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence, Austin, Texas, U.S.A., July 2000, pp. 735-741.
    [27]Wiebe J. M. and Riloff E. (2005), “Creating subjective and objective sentence classifiers from un-annotated tests,” Proceedings of the Sixth International Conference on Intelligent Text Processing and Computational Linguistics, Mexico City, Mexico, February 2005, pp. 486-497.
    [28]Ye, Q., Lin, B. and Li, Y. J. (2005), “Sentiment classification for Chinese reviews: A comparison between SVM and semantic approaches,” Proceedings of the 4th International Conference on Machine Learning and Cybernetics, Guangzhou, China, August 2005, pp. 2341-2346.
    [29]Yu, H. and Hatzivassiloglou, V. (2003), “Towards answering opinion questions: Separating facts from opinions and identifying the polarity of opinion sentences,” Proceedings of the 8th Conference on Empirical Methods in Natural Language Processing, Sapporo, Japan, July 2003, pp. 129-136.
    [30]Zhuang, L., Jing, F. and Zhu, X. Y. (2006), “Movie review mining and summarization,” Proceedings of the 15th ACM International Conference on Information and Knowledge Management, Arlington, Virginia, U.S.A., November 2006, pp. 43-50.
    中文部分
    [31]張永霖,2002,使用基因演算法與相關回饋於協助網頁搜尋,國立中央大學資訊管理研究所碩士論文。
    [32]張振超,2006,結合基因演算法與使用者興趣檔之資訊檢索研究,國立中央大學資訊管理研究所碩士論文。
    Advisor
  • Shih-Chieh Chou(周世傑)
  • Files
  • 964203033.pdf
  • disapprove authorization
    Date of Submission 2009-07-02

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