摘要
观点挖掘技术旨在面向更为广阔的产品领域,从文本中自动获取观点所评价的对象,并有针对性地分析评论的倾向性。本文通过建立ChunkCRF模型对观点表达句中显式观点评价对象的识别;借助句法关系对句中出现多个评价对象的问题进行处理;利用语义搭配习惯对隐式评价对象进行填充生成。在此基础上,本文实现了基于观点评价对象的观点抽取与观点倾向性识别。实验结果表明,本文方法可有效地用于提高观点分析的精度。
Opinion analysis based on opinion-object extraction aims at mining opinions from multi-field reviews.This technique analyzes opinion reviews by extracting opinion objects and grouping the opinion objects automatically.A ChunkCRF model is constructed to divide the opinionated sentence into particular chunks which helps to identify the opinion objects and other opinion elements effectively.In the case of multi-objects in one sentence,syntactic structure is analyzed for a decision.In the case of implicit opinion objects,opinion object is generated by a semantic method.On this basis,opinion analysis based on opinion-object extraction is practiced.
出处
《广西师范大学学报（自然科学版）》
CAS
北大核心
2011年第1期151-156,共6页
Journal of Guangxi Normal University:Natural Science Edition
基金
国家自然科学基金资助项目(60673039
60973068)
国家社科基金资助项目(08BTQ025)
国家863高科技计划资助项目(2006AA01Z151)
教育部留学回国人员科研启动基金
高等学校博士学科点专项科研基金资助课题(20090041110002)
