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基于三维坐标的模糊量化情感分类方法
引用本文:林明明,邱云飞,邵良杉.基于三维坐标的模糊量化情感分类方法[J].中文信息学报,2016,30(3):152-162.
作者姓名:林明明  邱云飞  邵良杉
作者单位:1. 辽宁工程技术大学 软件学院,辽宁 葫芦岛 125100;
2. 辽宁工程技术大学 系统工程研究所,辽宁 葫芦岛 125100
基金项目:国家自然科学基金(70971059);辽宁省创新团队项目(2009T045);辽宁省高等学校杰出青年学者成长计划(LJQ2012027)。
摘    要:针对微博情感分类问题,构造了基于三维坐标的模糊量化情感分类算法,通过将情感模糊量化,对微博进行多情感分类。首先对情感模糊处理,将情感分为六大类,根据六大类,定义并计算句子的模糊情感;其次将情感量化处理,根据情感类别构造三维坐标模型,将模糊情感值作为句子的坐标,通过坐标将句子映射到三维坐标模型中,使其量化;最后通过模糊量化处理后,根据与坐标轴的夹角判断句子最终的情感分类。通过实验,对三个作者的微博进行模糊量化处理,对其情感分类,实验结果的F值达到85%以上,同时与三种经典算法进行对比实验,准确率有了明显的提高。


关 键 词:微博情感  模糊量化  情感分类  模糊情感  三维坐标
  

Three-dimensional Coordinate Based FuzzyQuantification for Sentiment Classification
LIN Mingming,QIU Yunfei,SHAO Liangshan.Three-dimensional Coordinate Based FuzzyQuantification for Sentiment Classification[J].Journal of Chinese Information Processing,2016,30(3):152-162.
Authors:LIN Mingming  QIU Yunfei  SHAO Liangshan
Affiliation:1. School of Software,Liaoning Technical University,Huludao,Liaoning 125100,China;
2. System Engineering Institute,Liaoning Technical University,Huludao,Liaoning 125100,China
Abstract:A fuzzy quantification based on the three-dimensional coordinate is presented for microblog sentiment classification. Firstly,we define and divide the microblog sentiment into six classes,and calculate the fuzzy sentiment. Secondly,we construct the three-dimensional coordinate based on the sentiment classes,and mapped the sentences into the three-dimensional. Finally,we decide the sentiment classification of the sentence according to the angle between the sentence and axis. Through the experiment on classifying three authors' microblogs,the F-measure reaches more than 85%,outperforming three classical algorithms.
Keywords:sentiment of microblog  fuzzy quantifying  sentiment classification  fuzzy sentiment  three-dimensional coordinate  
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