[1]张景,牛耘. 中文微博评价对象识别研究[J].计算机技术与发展,2017,27(01):6-10.
　ZHANG,Jing NIU Yun. Research on Opinion Target Extraction in Chinese Microblogs[J].,2017,27(01):6-10.
点击复制

 中文微博评价对象识别研究()
分享到：

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
27
期数:
2017年01期
页码:
6-10
栏目:
智能、算法、系统工程
出版日期:
2017-01-10

文章信息/Info

Title:
 Research on Opinion Target Extraction in Chinese Microblogs
文章编号:
1673-629X（2017)01-0006-05
作者:
 张景; 牛耘
 南京航空航天大学 计算机科学与技术学院
Author(s):
 ZHANG; Jing NIU Yun
关键词:
 ; 评价对象; 候选词提取; 语义分析; 相似性计算
Keywords:
 ; opinion target; candidate extraction; semantic analysis; similarity calculation
分类号:
TP31
文献标志码:
A
摘要:
 旨在对中文微博文本的句子中评价对象进行识别。评价对象识别是指识别出评论中情感表达所针对的对象，进行评价对象的识别有助于对事件发展状况进行监控管理。目前，针对中文微博领域评价对象识别的研究较少。由于微博文本的句子简短、语言表达不够规范且表达的观点缺少带情感倾向性的词语(评价词)，因而传统的通过评价词来找到评价对象的方法不适用于微博文本。利用词性分析提取和过滤评价对象候选词，并结合语义分析对句子中的候选词进行分类，基于相似的句子有着相似的评价对象的假设，采用候选词的相似性迭代算法识别中文微博文本句子中的评价对象。实验结果表明，通过深入分析微博文本的语言特征提出的方法，提高了对评价对象识别的精度。
Abstract:
 It focuses on extracting opinion targets in Chinese microblogs. Opinion target extraction aims to find the object to which the o-pinion is expressed,helping to monitor and control the development of events. At present,there are few researches on opinion target ex-traction in Chinese microblogs. Due to short text span,colloquial writing style and the lack of words with emotional tendency ( opinion words) in Microblogs,the traditional approaches rely on opinion words are not suitable for microblogs. In this paper, we use the part-of-speech analysis to extract and filter candidate words,and combine semantic analysis to classify candidate words. Based on the assumption that similar messages may have similar opinion targets,a similarity iterative algorithm of candidate words is proposed to extract opinion targets. Experimental results show that by deeply analyzing language features of Microblogs,the proposed method has improved high ac-curacy.

相似文献/References:

[1]张志宏,吴庆波,邵立松,等.基于飞腾平台TOE协议栈的设计与实现[J].计算机技术与发展,2014,24(07):1.
　ZHANG Zhi-hong,WU Qing-bo,SHAO Li-song,et al. Design and Implementation of TCP/IP Offload Engine Protocol Stack Based on FT Platform[J].,2014,24(01):1.
[2]梁文快,李毅. 改进的基因表达算法对航班优化排序问题研究[J].计算机技术与发展,2014,24(07):5.
　LIANG Wen-kuai,LI Yi. Research on Optimization of Flight Scheduling Problem Based on Improved Gene Expression Algorithm[J].,2014,24(01):5.
[3]黄静,王枫,谢志新,等. EAST文档管理系统的设计与实现[J].计算机技术与发展,2014,24(07):13.
　HUANG Jing,WANG Feng,XIE Zhi-xin,et al. Design and Implementation of EAST Document Management System[J].,2014,24(01):13.
[4]侯善江[],张代远[][][]. 基于样条权函数神经网络P2P流量识别方法[J].计算机技术与发展,2014,24(07):21.
　HOU Shan-jiang[],ZHANG Dai-yuan[][][]. P2P Traffic Identification Based on Spline Weight Function Neural Network[J].,2014,24(01):21.
[5]李璨,耿国华,李康,等. 一种基于三维模型的文物碎片线图生成方法[J].计算机技术与发展,2014,24(07):25.
　LI Can,GENG Guo-hua,LI Kang,et al. A Method of Obtaining Cultural Debris’ s Line Chart Based on Three-dimensional Model[J].,2014,24(01):25.
[6]翁鹤,皮德常. 混沌RBF神经网络异常检测算法[J].计算机技术与发展,2014,24(07):29.
　WENG He,PI De-chang. Chaotic RBF Neural Network Anomaly Detection Algorithm[J].,2014,24(01):29.
[7]刘茜[],荆晓远[],李文倩[],等. 基于流形学习的正交稀疏保留投影[J].计算机技术与发展,2014,24(07):34.
　LIU Qian[],JING Xiao-yuan[,LI Wen-qian[],et al. Orthogonal Sparsity Preserving Projections Based on Manifold Learning[J].,2014,24(01):34.
[8]尚福华,李想,巩淼. 基于模糊框架-产生式知识表示及推理研究[J].计算机技术与发展,2014,24(07):38.
　SHANG Fu-hua,LI Xiang,GONG Miao. Research on Knowledge Representation and Inference Based on Fuzzy Framework-production[J].,2014,24(01):38.
[9]叶偲,李良福,肖樟树. 一种去除运动目标重影的图像镶嵌方法研究[J].计算机技术与发展,2014,24(07):43.
　YE Si,LI Liang-fu,XIAO Zhang-shu. Research of an Image Mosaic Method for Removing Ghost of Moving Targets[J].,2014,24(01):43.
[10]余松平[][],蔡志平[],吴建进[],等. GSM-R信令监测选择录音系统设计与实现[J].计算机技术与发展,2014,24(07):47.
　YU Song-ping[][],CAI Zhi-ping[] WU Jian-jin[],GU Feng-zhi[]. Design and Implementation of an Optional Voice Recording System Based on GSM-R Signaling Monitoring[J].,2014,24(01):47.
[11]张建华,翁鸣,李晓乐,等. 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,2016,26(02):52.
　ZHANG Jian-hua,WENG Ming,LI Xiao-le,et al. Extraction of Evaluation Object Based on Dependency Parsing and Binary Tree[J].,2016,26(01):52.

更新日期/Last Update: 2017-04-01