顾正甲1,姚天昉2. 评价对象及其倾向性的抽取和判别[J]. 中文信息学报, 2012, 26(4): 91-98.
GU Zhengjia1, YAO Tianfang2. Extraction and Discrimination of the Evaluated Object and Its Orientation. , 2012, 26(4): 91-98.
评价对象及其倾向性的抽取和判别
顾正甲1,姚天昉2
1.上海交通大学 软件学院; 2.上海交通大学 计算机科学与工程系,上海 200240
Extraction and Discrimination of the Evaluated Object and Its Orientation
GU Zhengjia1, YAO Tianfang2
1.School of Software, Shanghai JiaoTong University, Shanghai 200240, China; 2.Department of Computer Science and Engineering, Shanghai JiaoTong University, Shanghai 200240, China
Abstract：Opinion mining based on the subjective text is a language technology widely used in various fields. This paper studies on the evaluation morpheme, employing SBV polarity transfer algorithm, anaphora resolution, ATT chain algorithm and mutual information algorithm to extract evaluated objects from corpus results of LTP. Different types of sentences are taken into consideration to identify the orientation of sentiment words. The effects of adverb and conjunction, especially the normal adverb, negative adverb and adverb “Tai” are discussed in detail. Finally, an overall solution is presented with low algorithm complexity, clear structure and easy to understand. However, due to the adoption of basic syntactic analysis and experience-based language pattern, the proposed solution is dependent on syntactic analysis results. Key wordsevaluated object; orientation; SBV polarity transfer algorithm; anaphora resolution
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