计算机技术与发展Issue(2)：52-55,60,5.DOI:10.3969/j.issn.1673-629X.2016.02.012
基于依存句法和二叉树模型的评价对象抽取
Extraction of Evaluation Object Based on Dependency Parsing and Binary Tree
摘要
Abstract
It’s beneficial for finding productions’ feature that users care,by identifying the evaluation objects in comments,which pro-vides decision basis for improving productions’ equality. According to the interdependence between words,an evaluation object identif-ying method based on dependency parsing and binary tree was proposed. By dependency relation analyzing,grammar relations sentences are found. Then construct binary trees with noun and noun phrases based on the binary tree model. Finally,traverse all binary trees,output relative strings,and combined the outputting strings,get evaluation objects with complete meaning. Experimental results show that this method has good effects in two specific test sets.关键词
依存句法分析/评价对象/二叉树Key words
dependency parsing/evaluation object/binary tree分类
信息技术与安全科学引用本文复制引用
张建华,翁鸣,李晓乐,刘芳..基于依存句法和二叉树模型的评价对象抽取[J].计算机技术与发展,2016,(2):52-55,60,5.基金项目
广西高等学校科学技术研究项目(2013YB215) （2013YB215）
广西财经学院数量经济学创新团队开放性基金项目(2014CX07) （2014CX07）
