https://scholars.lib.ntu.edu.tw/handle/123456789/413172
標題: | A study on identification of opinion holders | 作者: | Lee C.-Y. Ku L.-W. Chen H.-H. |
關鍵字: | CRF;Opinion holders identification;Opinion mining;SVM | 公開日期: | 2009 | 起(迄)頁: | 101-114 | 來源出版物: | 21st Conference on Computational Linguistics and Speech Processing | 摘要: | The identification of opinion holders aims to extract entities that express opinions in opinion sentences. In this paper, the task of opinion holder identification is divided into two subtasks: the identification of author's opinions and the labeling of opinion holders. Support vector machine is adopted to identify author's opinions, and conditional random field model (CRF) is utilized to label opinion holders. The proposed method achieves an F-score 0.734 in NTCIR7 MOAT task at traditional Chinese side. The proposed method achieves the best performance among participants who adopted machine learning methods, and also this performance was close to the best performance in this task. In addition, the ambiguous markings of opinion holders are analyzed, and the best way to utilize the training instances with ambiguous markings is proposed. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/413172 |
顯示於: | 資訊工程學系 |
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