The readability of helpful product reviews

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Title: The readability of helpful product reviews
Authors: O'Mahony, Michael P.
Smyth, Barry
Permanent link: http://hdl.handle.net/10197/2102
Date: 19-May-2010
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)
User-generated content--Evaluation
Recommender systems (Information filtering)
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
Appears in Collections:CLARITY Research Collection
Computer Science Research Collection

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