基于词性分析的产品评价信息挖掘

被引:4
作者
冯秀珍
郝鹏
机构
[1] 北京工业大学软件学院
关键词
抽取规则; 分词; 语义倾向; 同义词替换; 信息挖掘;
D O I
10.16208/j.issn1000-7024.2013.01.055
中图分类号
TP391.1 [文字信息处理]; TP311.13 [];
学科分类号
081203 ; 0835 ; 1201 ;
摘要
在对语料库中表达产品特征及相应评价的词的词性进行分析的基础上,确定了表达产品特征及评价最为常见的词性和词性的重要程度顺序,提出了一种产品特征及其相应评价的信息抽取规则,并根据规则建立评价语句的语义倾向的计算公式。实验结果表明,该方法在产品特征抽取及其相应评价的语义倾向判断上具有很高的准确性。通过对产品特征及其相应的评价信息进行挖掘可以为企业新产品的开发和产品的推荐提供重要的参考价值,是进行下一步生产决策的重要的理论依据。
引用
收藏
页码:283 / 288
页数:6
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