| 一种基于多重词典的中文文本情感特征抽取方法 |
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| 引用本文： | 朱艳辉,栗春亮,徐叶强,柳位平.一种基于多重词典的中文文本情感特征抽取方法[J].湖南工业大学学报,2011,25(2):42-46. |
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| 作者姓名： | 朱艳辉 栗春亮 徐叶强 柳位平 |
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| 作者单位： | 湖南工业大学计算机与通信学院,湖南株洲,412008 |
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| 基金项目： | 湖南省自然科学基金资助项目（10JJ3002），中国包装总公司科研基金资助项目（2008-XK13） |
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| 摘 要： | 情感特征抽取是文本情感分类的重要步骤,正确的选择情感特征并赋予合理的情感权重是保障分类精度的前提。利用基础情感词词典、连词词典及词语距离,提出了一种基于多重词典的中文文本情感特征抽取算法,实验证明该方法优于HM,SO-PMI和词语语义距离等经典的特征抽取算法。
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| 关 键 词： | 情感特征 情感权重 多重词典 情感特征抽取算法 |
| 收稿时间： | 2010/12/16 0:00:00 |
A Method of Emotional Feature Extraction in Chinese Text Based on Multiple Lexicons |
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| Zhu Yanhui,Li Chunliang,Xu Yeqiang and Liu Weiping.A Method of Emotional Feature Extraction in Chinese Text Based on Multiple Lexicons[J].Journal of Hnnnan University of Technology,2011,25(2):42-46. |
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| Authors: | Zhu Yanhui Li Chunliang Xu Yeqiang and Liu Weiping |
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| Affiliation: | Zhu Yanhui,Li Chunliang,Xu Yeqiang,Liu Weiping(School of Computer and Communication,Hunan University of Technology,Zhuzhou Hunan 412008,China) |
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| Abstract: | Emotional feature extraction is an important step in text sentiment classification, so choosing emotional feature correctly and giving a reasonable sentiment weight are the premise to guarantee classification precision. A Chinese text emotional feature extraction algorithm is proposed based on multiple lexicons including basic semantic lexicon, conjunction lexicon and word distance. The experiment results show that the algorithm outperforms some classic feature extraction algorithms of HM, SO-PMI and word semantic distance etc. |
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| Keywords: | emotional feature sentiment weight multiple lexicons emotional feature extraction algorithm |
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