[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.
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