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双目标函数支持向量机在情感分析中的应用 被引量：2

Application of Twin Objective Function SVM in Sentiment Analysis
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摘要 针对单目标函数支持向量机在情感分析中应用的不足,采取两种双目标函数支持向量机NPSVM和TWSVM进行情感分类应用研究.实验表明双目标函数支持向量机在应用于情感分析中,其精度和稳定性具有明显优势. The paper studies sentiment analysis by applying the twin objective function SVM,including NPSVM and TWSVM.From the experiments,we concluded that twin objective function SVM are prior to single objective function SVM in accuracy and stability.
作者 刘春雨 朱倩男 郭满才 周晓飞
机构地区 西北农林科技大学理学院 中科院信息工程研究所
出处 《微电子学与计算机》 CSCD 北大核心 2016年第1期127-130,共4页 Microelectronics & Computer
基金 国家自然科学基金(61202226) 中国科学院战略性科技先导专项(XDA06030200)
关键词 情感分析 双目标函数 支持向量机 文本分类 sentiment analysis twin objective functions SVM text classification
分类号 TP301 [自动化与计算机技术—计算机系统结构]
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参考文献7

  • 1黄萱菁,张奇,吴苑斌.文本情感倾向分析[J].中文信息学报,2011,25(6):118-126. 被引量：61
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  • 4Ayadeva R K,Khemchandani R,Chandra S ? Twin sup-port vector machines for pattern classification [J]. IEEETrans Pattern Anal Mach Intell, 2011,29(5) :905~910.
  • 5Yingjie Tian, Xuchan Ju,Zhiquan Qi. Nonparallelsupport vector for pattern classification [ J ]. IEEETrans Cybernetics, 2014,44(7) : 1067-1076.
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二级参考文献45

  • 1赵军,许洪波,黄萱菁,谭松波,刘康,张奇.中文倾向性分析评测技术报告[C]//第一届中文倾向性分析评测会议(The First Chinese Opinion Analysis Evaluation).COAE,2008.
  • 2姚天昉,娄德成.汉语情感词语义倾向判别的研究[C]//中国计算技术与语言问题研究-第七届中文信息处理国际会议论文集,武汉:2007.
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  • 8N. Jindal, B. Liu. Review spare detection[C]//WWW 07 Proceedings of the 16th international conference on World Wide Web, 2007.
  • 9Theresa Ann Wilson. Fine-grained Subjectivity and Sentiment Analysis: Recognizing the Intensity, Polari- ty, and Attitudes of Private States[D]. Ph. D Disser-tation, University of Pittsburgh, 2008.
  • 10N. Kobayashi, K. Inui, Y. Matsumoto. Extracting Aspect-Evaluation and Aspect-of Relations in OpinionMining[C]//Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processingand Computational Natural Language Learning (EMN- LP-CoNLL), 2007.

共引文献60

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引证文献2

二级引证文献5

微电子学与计算机
2016年 第1期

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