CAJ | 학술논문

微博情感研究已成为网络文本分析的重要研究领域，微博情感词典是进行微博情感分类的基础。提出一种在分析海量微博语料情感的过程中，自动构建情感词典的方法。方法自动从语料中获取情感词汇、筛选确定情感新词，使用SO-MB 算法计算新情感词的情感极性及强度，构建微博情感词典，结合规则对中文微博进行无监督情感分类。实验证明提出的微博情感词典的构建方法及微博情感分类方法是有效的。
미박정감연구이성위망락문본분석적중요연구영역，미박정감사전시진행미박정감분류적기출。제출일충재분석해량미박어료정감적과정중，자동구건정감사전적방법。방법자동종어료중획취정감사회、사선학정정감신사，사용SO-MB 산법계산신정감사적정감겁성급강도，구건미박정감사전，결합규칙대중문미박진행무감독정감분류。실험증명제출적미박정감사전적구건방법급미박정감분류방법시유효적。
Research on micro-blog sentiment has become an important research field of network text analysis .Micro-blog sentiment dictionary is the basis for micro-blog sentiment classification .A method is proposed to build micro-blog senti-ment dictionary automatically in the process of analysis massive micro-blog sentiment .The method obtains new sentiment words from the corpus automatically ,then computes the word's polarity and the intensity of emotional words by SO-MB and constructs micro-blog sentiment dictionary .Then method uses an unsupervised method to classify the micro-blog sentiment polarity with our dictionary .The experiments show the effective of our method .