Mining consumer reviews to generate ratings of different product attributes while producing feature-based review-summary

DOI10.1080/00207721.2015.1116640zbMath1346.93062OpenAlexW2254064799MaRDI QIDQ2821340

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Publication date: 20 September 2016

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: http://wrap.warwick.ac.uk/74503/7/WRAP_Williams_preprint_y_JoSS_Paper.pdf

zbMATH Keywords

classificationnatural language processingnaïve Bayespart-of-speech taggingcrowd courcingfeature-based summarisationlogictic regressionopinion spam

Mathematics Subject Classification ID

Application models in control theory (93C95) Consumer behavior, demand theory (91B42)

Related Items (2)

Opinion mining in management research: the state of the art and the way forward ⋮ Supporting consumer's purchase decision: a method for ranking products based on online multi-attribute product ratings

Cites Work

• Deriving the Pricing Power of Product Features by Mining Consumer Reviews
• Learning naive Bayes classifiers from positive and unlabelled examples with uncertainty

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