| 面向微博短文本的细粒度情感特征抽取方法 |
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| 引用本文： | 贺飞艳,何炎祥,刘楠,刘健博,彭敏.面向微博短文本的细粒度情感特征抽取方法[J].北京大学学报(自然科学版),2014,50(1):48. |
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| 作者姓名： | 贺飞艳 何炎祥 刘楠 刘健博 彭敏 |
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| 作者单位： | 1. 武汉大学计算机学院, 武汉 430072; 2. 军事经济学院军需系, 武汉 430035; |
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| 基金项目： | 国家自然科学基金(61070083);国家科技支持计划子课题(2011BAK08B03-01)资助 |
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| 摘 要： | 结合TF-IDF方法与方差统计方法, 提出一种实现多分类特征抽取的计算方法。采用先极性判断, 后细粒度情感判断的处理方法, 构建细粒度情感分析与判断流程, 并将其应用于微博短文本的细粒度情感判断。通过NLP&CC2013评测所提供的训练语料对该方法有效性进行验证, 结果表明该方法具有较好的抽取效果。
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| 关 键 词： | 自然语言处理 文本情感分析 细粒度情感 多分类特征抽取 |
| 收稿时间： | 2012-05-20 |
A Microblog Short Text Oriented Multi-class Feature Extraction Method of Fine-Grained Sentiment Analysis |
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| HE Feiyan,HE Yanxiang,LIU Nan,LIU Jianbo,PENG Min.A Microblog Short Text Oriented Multi-class Feature Extraction Method of Fine-Grained Sentiment Analysis[J].Acta Scientiarum Naturalium Universitatis Pekinensis,2014,50(1):48. |
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| Authors: | HE Feiyan HE Yanxiang LIU Nan LIU Jianbo PENG Min |
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| Institution: | 1. School of Computer,Wuhan University, Wuhan 430072; 2. Department of Quartermaster, Military Economic Academy, Wuhan 430035; |
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| Abstract: | Combined with TF-IDF method and variance statistical forumla, a new method for the extraction of multi-class feature is presented. This microblog short text oriented extraction method is used to determine the fine-grained sentiment type. Then the processes of fine-grained sentiment analysis is bulit. This method is used to praticipate the NLP&CC2013 evaluation, and the effectiveness of this method is proved by the good ranking of the subimitted data. |
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| Keywords: | natural language processing text sentiment analysis fine-grained sentiment analysis multi-class feature extraction |
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