Abstract
We describe an architecture for organizing and summarizing consumer reviews about products that have been posted on specialized web sites. The core technology is based on the automatic extraction of product features for which we report experiments on two types of corpora. We thus show that NLP techniques can be fruitfully used in this context for helping consumers sort out the mass of information displayed in such contexts.
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Feiguina, O., Lapalme, G. (2007). Query-Based Summarization of Customer Reviews. In: Kobti, Z., Wu, D. (eds) Advances in Artificial Intelligence. Canadian AI 2007. Lecture Notes in Computer Science(), vol 4509. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72665-4_39
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DOI: https://doi.org/10.1007/978-3-540-72665-4_39
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-72664-7
Online ISBN: 978-3-540-72665-4
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