| 基于网络的评论褒贬分析 |
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| 引用本文： | 许璐蕾. 基于网络的评论褒贬分析[J]. 苏州市职业大学学报, 2010, 21(3): 56-59 |
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| 作者姓名： | 许璐蕾 |
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| 作者单位： | 苏州市职业大学,计算机工程系,江苏,苏州,215104 |
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| 摘 要： | 针对网络中主观感情色彩的评论性文本进行处理可以获得有用的意见、结论．介绍文本倾向性分类技术，并基于该技术分析网络中对商品的评论信息．提出构建商品评价模型的方法．
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| 关 键 词： | 文本分类 情感词 文本倾向性 机器学习 |
Analysis of Comments on the Web |
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| XU Lu-lei. Analysis of Comments on the Web[J]. Journal of Suzhou Vocational University, 2010, 21(3): 56-59 |
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| Authors: | XU Lu-lei |
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| Affiliation: | XU Lu-lei (Department of Computer Engineering, Suzhou Vocational University, Suzhou 215104, China) |
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| Abstract: | The processing of subjective comments on the web yields useful opinions and conclusions. The paper introduces text tendency classification technology, on the basis of which web comments on the merchandise are analyzed and merchandise evaluation model is proposed. |
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| Keywords: | text classification emotional words text tendency machine learning |
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