基于领域本体的产品网络口碑信息多层次细粒度情感挖掘

Sentiment Mining of Online Product Reviews Based on Domain Ontology

【目的】研究产品各属性之间的层次关系以及消费者对产品局部属性与整体属性的情感态度,优化情感分析结果。【方法】构建产品领域本体,利用该本体提取产品属性并构建产品属性层次模型,通过计算情感词与属性词搭配权重来识别隐式属性,并构建领域情感词典,计算各层次产品属性的情感倾向性,从产品总体、属性类、单个属性三个层次,实现产品细粒度的情感分析。【结果】采集手机在线评论数据设计实验,对比实验结果表明本文算法在情感分类准确性上有明显提高。【局限】本文的产品属性的抽取与层次模型的构建依赖于所构建的领域本体,因此本体构建的完善性还需进一步提高。【结论】本文方法能有效解决属性之间的逻辑关系,进一步提高了情感分析的准确性与实践性。

[Objective] This paper studies the relationship between the product attributes and the emotional attitudes of consumers, aiming to optimize the sentiment analysis on consumer reviews. [Methods] First, we constructed the product domain ontology to extract the needed attributes. Then, we built the product attribute hierarchy model, which combined the collocation weight of emotional words with attribute words to identify implicit attributes. Third, we created a dictionary to calculate the emotional orientation of product attributes at all levels for the sentiment analysis. [Results] We examined the proposed model with online reviews of smart phones and found it improved the accuracy of emotion classification. [Limitations] The construction of ontology needs to be further improved. [Conclusions] The proposed method could effectively identify the logical relationship among attributes, which improve the performance of sentiment analysis in real world cases.