| 基于特征本体的微博产品评论情感分析 |
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| 引用本文： | 唐晓波,兰玉婷.基于特征本体的微博产品评论情感分析[J].图书情报工作,2016,60(16):121. |
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| 作者姓名： | 唐晓波 兰玉婷 |
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| 作者单位： | 武汉大学信息管理学院 武汉 430072 |
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| 基金项目： | 本文系国家自然科学基金项目“社会化媒体集成检索与语义分析方法研究”（项目编号：71273194）研究成果之一。 |
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| 摘 要： | 目的/意义] 微博平台产品评论的特征级情感分析问题具有其特殊性，为了对特征分类，解决隐式特征的识别问题，并分析特征情感，提出一种基于特征本体的产品评论情感分析方法。方法/过程] 该方法利用构建的特征本体对特征词分类，通过计算情感词与特征的搭配权重来识别隐式特征，并构建领域情感词典和微博表情符号词典，计算微博产品评论的特征情感极性和强度。结果/结论] 构建方法模型，通过采集微博评论数据设计实验，验证了提出方法的有效性。
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| 关 键 词： | 特征 本体 产品评论 情感分析 微博 |
| 收稿时间： | 2016-05-05 |
Sentiment Analysis of Microblog Product Reviews Based on Feature Ontology |
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| Tang Xiaobo,Lan Yuting.Sentiment Analysis of Microblog Product Reviews Based on Feature Ontology[J].Library and Information Service,2016,60(16):121. |
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| Authors: | Tang Xiaobo Lan Yuting |
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| Institution: | School of Information management, Wuhan University, Wuhan 430072 |
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| Abstract: | Purpose/significance] Feature-level sentiment analysis on product reviews on the microblog platform has its particularity. To group features into categories, solve the recognition problem of implicit features and analyze features' sentiment, this paper proposes a sentiment analysis method of product reviews based on the feature-ontology. Method/process] Feature-ontology is applied to grouping features into categories. Implicit features are identified by calculating collocation weights between emotional words and features. Emotion dictionary of a specialized field and microblog emoticon dictionary are constructed to calculate emotional intensity and polarity of features. Result/conclusion] The methodological model is constructed and its effectiveness is verifies by collecting microblog reviews and designing the experiment. |
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| Keywords: | feature ontology product reviews sentiment analysis micorblog |
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