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。
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.
出处
《北京大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2014年第1期48-54,共7页
Acta Scientiarum Naturalium Universitatis Pekinensis
基金
国家自然科学基金(61070083)
国家科技支持计划子课题(2011BAK08B03-01)资助
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
natural language processing
text sentiment analysis
fine-grained sentiment analysis
multi-class feature extraction
