| 多策略中文微博细粒度情绪分析研究 |
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| 引用本文： | 欧阳纯萍,阳小华,雷龙艳,徐强,余颖,刘志明.多策略中文微博细粒度情绪分析研究[J].北京大学学报(自然科学版),2014,50(1):67. |
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| 作者姓名： | 欧阳纯萍 阳小华 雷龙艳 徐强 余颖 刘志明 |
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| 作者单位： | 南华大学计算机科学与技术学院, 衡阳421001; |
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| 基金项目： | 湖南省自然科学基金项目(13JJ4076,11JJ6047);湖南省教育厅优秀青年项目(13B101);衡阳市科技计划项目(2012KJ9)资助 |
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| 摘 要： | 针对中文微博用户的情绪分析问题, 提出一种基于多策略融合的细粒度情绪分析方法。首先采用朴素贝叶斯算法对微博的有无情绪分类问题进行研究, 然后构建有情绪微博的21维特征向量, 最后采用SVM和KNN算法对微博进行细粒度情绪分析。以新浪微博作为实验对象, 结果表明多策略集成方法好于单一分类 算法。在多策略集成方法中, “NB+SVM”方法略优于“NB+KNN”方法。
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| 关 键 词： | 细粒度情绪分析 中文微博 朴素贝叶斯 SVM KNN |
| 收稿时间： | 2013-07-09 |
Multi-strategy Approach for Fine-Grained Sentiment Analysis of Chinese Microblog |
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| OUYANG Chunping,YANG Xiaohua,LEI Longyan,XU Qiang,YU Ying,LIU Zhiming.Multi-strategy Approach for Fine-Grained Sentiment Analysis of Chinese Microblog[J].Acta Scientiarum Naturalium Universitatis Pekinensis,2014,50(1):67. |
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| Authors: | OUYANG Chunping YANG Xiaohua LEI Longyan XU Qiang YU Ying LIU Zhiming |
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| Institution: | School of Comupter Science and Technology, University of South China, Hengyang 421001; |
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| Abstract: | Fine-grained sentiment analysis of Chinese microblog is investigated and a method of multi-strategy fusion is proposed. Firstly, the authors apply naive Bayesian to identify sentiment or non-sentiment about microblog. Secondly, based on emotion ontology, a method for how to form 21 sentiment features vectors of microblog is presented. At last, fine-grained sentiment of microblog is classified based on SVM and KNN respectively. Experiment results show that multi-strategy fusion is better than a single method, in addition, “NB+SVM” strategy is better than “NB+KNN” strategy. |
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| Keywords: | fine-grained sentiment analysis Chinese microblog naive Bayesian support vector machine (SVM) K Nearest Neighbor (KNN) |
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