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    HICSS
    2005
    IEEE
    117views Biometrics» more  HICSS 2005»
    Movie Review Mining: a Comparison between Supervised and Unsupervised Classification Approaches
    13 years 10 months ago
    Movie Review Mining: a Comparison between Supervised and Unsupervised Classification Approaches
    Download  knlp.snu.ac.kr
    Web content mining is intended to help people discover valuable information from large amount of unstructured data on the web. Movie review mining classifies movie reviews into tw...
    Pimwadee Chaovalit, Lina Zhou
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    NAACL
    2007
    116views Computational Linguistics» more  NAACL 2007»
    OMS-J: An Opinion Mining System for Japanese Weblog Reviews Using a Combination of Supervised and Unsupervised Approaches
    13 years 6 months ago
    OMS-J: An Opinion Mining System for Japanese Weblog Reviews Using a Combination of Supervised and Unsupervised Approaches
    Download  sig.media.eng.hokudai.ac.jp
    We introduce a simple opinion mining system for analyzing Japanese Weblog reviews called OMS-J. OMS-J is designed to provide an intuitive visual GUI of opinion mining graphs for a...
    Guangwei Wang, Kenji Araki
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    IALP
    2010
    185views Natural Language Processing» more  IALP 2010»
    Multiple Factors-Based Opinion Retrieval and Coarse-to-Fine Sentiment Classification
    12 years 11 months ago
    Multiple Factors-Based Opinion Retrieval and Coarse-to-Fine Sentiment Classification
    Download  www.colips.org
    With more and more reviews on the web, browsing through a mass of the related reviews becomes a heavy work. How to effectively analyzing and organizing these reviews attracts more...
    Shu Zhang, Wen-Jie Jia, Yingju Xia, Yao Meng, Hao ...
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    KDD
    2006
    ACM
    180views Data Mining» more  KDD 2006»
    Learning the unified kernel machines for classification
    14 years 5 months ago
    Learning the unified kernel machines for classification
    Download  appsrv.cse.cuhk.edu.hk
    Kernel machines have been shown as the state-of-the-art learning techniques for classification. In this paper, we propose a novel general framework of learning the Unified Kernel ...
    Steven C. H. Hoi, Michael R. Lyu, Edward Y. Chang
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    DATAMINE
    2010
    161views more  DATAMINE 2010»
    Predicting labels for dyadic data
    13 years 2 months ago
    Predicting labels for dyadic data
    Download  dollar.biz.uiowa.edu
    : In dyadic prediction, the input consists of a pair of items (a dyad), and the goal is to predict the value of an observation related to the dyad. Special cases of dyadic predicti...
    Aditya Krishna Menon, Charles Elkan
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