Abstract
Customer reviews include opinions of the customer who purchased the products and expressed opinions may be regarding their satisfaction and criticism about different features of the product. In this paper we aim to mine different product features based on customer opinion expressed in the review and also to identify the opinion sentences associates with the extracted product features to find opinion summarization. We propose a semantic based approach using typed dependency relations to identify the product features based on the opinion word associated with it using different dependencies.
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Ravi Kumar, V., Raghuveer, K. (2013). Dependency Driven Semantic Approach to Product Features Extraction and Summarization Using Customer Reviews. In: Meghanathan, N., Nagamalai, D., Chaki, N. (eds) Advances in Computing and Information Technology. Advances in Intelligent Systems and Computing, vol 178. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31600-5_23
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DOI: https://doi.org/10.1007/978-3-642-31600-5_23
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31599-2
Online ISBN: 978-3-642-31600-5
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