Identification of Opinion Holders

Lun-Wei Ku ； Chia-Ying Lee ； Hsin-Hsi Chen

《中文計算語言學期刊》 14卷4期 (2009/12) Pp. 383-401

https://doi.org/10.30019/IJCLCLP.200912.0003

並列摘要

Opinion holder identification aims to extract entities that express opinions in sentences. In this paper, opinion holder identification is divided into two subtasks: author's opinion recognition and opinion holder labeling. Support vector machine (SVM) is adopted to recognize author's opinions, and conditional random field algorithm (CRF) is utilized to label opinion holders. New features are proposed for both methods. Our method achieves an f-score of 0.734 in the NTCIR7 MOAT task on the Traditional Chinese side, which is the best performance among results of machine learning methods proposed by participants, and also it is close to the best performance of this task. In addition, inconsistent annotations of opinion holders are analyzed, along with the best way to utilize the training instances with inconsistent annotations being proposed.

並列關鍵字

Opinion Holder Identification ； Opinion Mining ； Conditional Random Field ； Support Vector Machine

參考文獻

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