Aspect ontology based review exploration

Konjengbam, Anand and Dewangan, Neelesh and Singh, Manish and et al, . (2018) Aspect ontology based review exploration. Electronic Commerce Research and Applications, 30. pp. 62-71. ISSN 15674223

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User feedback in the form of customer reviews, blogs, and forum posts is an essential feature of e-commerce. Users often read online product reviews to get an insight into the quality of various aspects of a product. Besides, users have different aspect preferences, and they look for reviews that contain relevant information regarding their preferred aspect(s). However, as reviews are unstructured and voluminous, it becomes exhaustive and laborious for users to find relevant reviews. Lack of domain knowledge about various aspects and sub-aspects of a product, and how they are related to each other, also add to the problem. Although this information could be there in product reviews, it is not easy for users to spot it instantly from the reviews. This paper seeks to address the above problems and presents two novel algorithms that summarize product reviews, and provides an interactive search interface, similar to popular faceted navigation. We solve the problem by creating an aspect ontology tree with high aspect extraction precision.

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IITH Creators:
IITH CreatorsORCiD
Singh, Manish
Item Type: Article
Subjects: Computer science
Divisions: Department of Computer Science & Engineering
Depositing User: Team Library
Date Deposited: 18 Dec 2019 10:41
Last Modified: 18 Dec 2019 10:41
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