基于条件随机场的评价对象抽取  

Objects Extraction of Comment Based on Conditional Random Field

作　　者：夏圆 张征 

机构地区：[1]华中科技大学自动化学院,武汉430074

出　　处：《计算机系统应用》2017年第11期254-259,共6页Computer Systems & Applications

摘　　要：评价对象抽取是情感分析的重要组成部分,针对在线商品中文评论非正规化、网络化的特点,本文提出一种基于句法分析和条件随机场的评价对象的抽取方法,通过实验分析不同模板与不同特征组合对评价对象提取的F值的影响.在系统实现上,主要利用哈工大语言技术平台(LTP)的开放接口和CRFs开源工具对评论数据集进行训练和测试.最终使两类数据集的评价对象抽取的F值达分别达到到82.98%和83.50%.Extracting object of comment is an important part of emotional analysis. In view of the irregularity of language and the characteristics of network in Chinese online comment, this paper presents a method of extracting objects based on the syntactic analysis and conditional random field. It analyzes experimentally the effect of different templates and different combinations of features on the F value. In the implementation of the system, this paper uses Harbin Institute of Technology language platform open interface and CRFs open source tools to train and test on comment data sets. Finally,the F values of the two types of data sets have reached 82.98% and 83.50% respectively.

关 键 词：评价对象 情感分析 句法分析 条件随机场 特征组合 

分 类 号：TP391.1[自动化与计算机技术—计算机应用技术]