| 面向新闻的情感关键句抽取与判定 |
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| 引用本文： | 罗文兵,徐雄飞,王明文,左家莉. 面向新闻的情感关键句抽取与判定[J]. 江西师范大学学报(自然科学版), 2015, 0(6): 642-646 |
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| 作者姓名： | 罗文兵 徐雄飞 王明文 左家莉 |
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| 作者单位： | 江西师范大学计算机信息工程学院,江西 南昌 330022 |
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| 摘 要： | 情感倾向的分析已经成为当前研究的热点.面向新闻的情感关键句抽取与判定主要运用的技术有对文本进行预处理、计算文本中词项权重、提取情感关键句、用SVM分类器对情感关键句进行情感倾向性分析.实验结果表明:JXNUIIP系统对情感关键句提取问题有良好的效果.
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| 关 键 词： | 新闻 情感关键句 情感倾向性分析 支持向量机 |
The Sentiment Key Sentence Extraction and Identification for News |
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| LUO Wenbing,XU Xiongfei,WANG Mingwen,ZUO Jiali. The Sentiment Key Sentence Extraction and Identification for News[J]. Journal of Jiangxi Normal University (Natural Sciences Edition), 2015, 0(6): 642-646 |
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| Authors: | LUO Wenbing XU Xiongfei WANG Mingwen ZUO Jiali |
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| Affiliation: | School of Computer Information Engineering,Jiangxi Normal University,Nanchang Jiangxi 330022,China |
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| Abstract: | Sentimental opinion analysis has become a research focus currently.Sentiment key sentence extraction and identification for news,firstly preprocessed of the text,calculated weight of the terms,extracted the sentiment key sentences,and then used the SVM classifier to analysis the sentimental opinion of the sentence.Experimental results validated that JXNUIIP system has preferable performance on extracting sentiment key sentence. |
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| Keywords: | news sentiment key sentences sentimental opinion analysis SVM |
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