The readability of helpful product reviews
|Title:||The readability of helpful product reviews||Authors:||O'Mahony, Michael P.
|Permanent link:||http://hdl.handle.net/10197/2102||Date:||19-May-2010||Online since:||2010-06-23T13:59:11Z||Abstract:||Consumers frequently rely on user-generated product reviews to guide purchasing decisions. Given the ever increasing volume of such reviews and variations in review quality, consumers require assistance to effectively leverage this vast information source. In this paper, we examine to what extent the readability of reviews is a predictor of review helpfulness. Using a supervised classification approach, our findings indicate that readability is a useful predictor for Amazon product reviews but less so for TripAdvisor hotel reviews.||Funding Details:||Science Foundation Ireland||Type of material:||Conference Publication||Publisher:||AAAI||Copyright (published version):||AAAI, 2010||Subject LCSH:||Readability (Literary style)
Recommender systems (Information filtering)
|Other versions:||http://aaai.org/ocs/index.php/FLAIRS/2010/paper/view/1344||Language:||en||Status of Item:||Peer reviewed||Is part of:||H.W. Guesgen and R.C. Murray(ed.s). Proceedings of the twenty-third International Florida Artificial Intelligence Research Society Conference (FLAIRS-23)||Conference Details:||Poster presented at the 23rd International FLAIRS Conference (FLAIRS-23), Daytona Beach, Florida, USA, May 19-21, 2010||ISBN:||978-1-57735-447-5|
|Appears in Collections:||CLARITY Research Collection|
Computer Science Research Collection
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