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Data Analysis and Knowledge Discovery  2018, Vol. 2 Issue (8): 60-68    DOI: 10.11925/infotech.2096-3467.2017.1043
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Sentiment Mining of Online Product Reviews Based on Domain Ontology
Youshi He,Shufang He()
School of Management, Jiangsu University, Zhenjiang 212013, China
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Abstract  

[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.

Key wordsDomain Ontology      Product Feature      Multilevel      Fine-grained Emotional Orientation     
Received: 20 October 2017      Published: 08 September 2018

Cite this article:

Youshi He,Shufang He. Sentiment Mining of Online Product Reviews Based on Domain Ontology. Data Analysis and Knowledge Discovery, 2018, 2(8): 60-68.

URL:

http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.2096-3467.2017.1043     OR     http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2018/V2/I8/60

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