The Default Comment Object Identification Based on Condition Random Fields
TANG Wenwu1; GUO Yi1;2; XU Yongbin1; FANG Xu1
1. Department of Computer Science and Engineering, East China University of
Science and Technology, Shanghai 200237, China;
2. School of Information Science and Technology, Shihezi University, Shihezi, Xinjiang 832003, China
Abstract：The identification of the default objects and attributes in a comment is important in sentiment analysis for the commerce website’s reviews. To resolve the default comment objects and attributes, this paper proposes an effective identification method based on Conditional Random Fields (CRF). After applying an emotion dictionary to locate the opinion comments, we treat this task as a sequence labeling problem, and choose the lexical and dependency parsing elements as features. The evaluation results prove the proposed method with reasonable good accuracy and recall rates.
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2016, Vol. 30 
