| 基于语义极性分析的餐馆评论挖掘 |
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| 引用本文： | 潘宇,林鸿飞.基于语义极性分析的餐馆评论挖掘[J].计算机工程,2008,34(17):208-210. |
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| 作者姓名： | 潘宇 林鸿飞 |
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| 作者单位： | 大连理工大学计算机科学与工程系,大连,116024 |
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| 基金项目： | 国家自然科学基金，国家高技术研究发展计划(863计划) |
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| 摘 要： | 提出一种基于语义极性分析的餐馆评论挖掘方法。将餐馆的食物口味、环境、服务、价格作为其特征，以句子为单位对用户评论进行特征标注。将具有多个特征的复杂特征句划分为简单特征句，分析评论句的语义极性和极性强度。使用户可方便地了解其他用户对某个餐馆某种特征的评价，为用户消费提供了有力指导。
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| 关 键 词： | 特征标识 情感本体 语义极性 |
| 修稿时间： | |
Restaurant Reviews Mining Based on Semantic Polarity Analysis |
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| PAN Yu,LIN Hong-fei.Restaurant Reviews Mining Based on Semantic Polarity Analysis[J].Computer Engineering,2008,34(17):208-210. |
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| Authors: | PAN Yu LIN Hong-fei |
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| Affiliation: | (Department of Computer Science and Engineering, Dalian University of Technology, Dalian 116024) |
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| Abstract: | This paper presents a method for restaurant reviews mining based on semantic polarity analysis.It regards the taste,environment,service and price as the restaurant features.The user reviews are tagged with features sentence by sentence,and the complicated sentences with multi-features are divided into several simple feature sentences.It analyses the sentences' semantic polarity and its intensity.As a result,the user can find out others' opinions on certain restaurant about its certain feature conveniently.I... |
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| Keywords: | feature tag affective ontology semantic polarity |
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