Measuring design-level information quality in online reviews

作者：

Highlights：

• A model to estimate the design contextual information in online reviews is presented.

• Links extracted nouns to ensure the relevancy of design features.

• The model evaluates three information components: content, complexity, and relevancy.

• The results confirmed that a lot of useful product design information exists in online reviews.

摘要

•A model to estimate the design contextual information in online reviews is presented.•Links extracted nouns to ensure the relevancy of design features.•The model evaluates three information components: content, complexity, and relevancy.•The results confirmed that a lot of useful product design information exists in online reviews.

论文关键词：Big data,Data analytics,Design features,Information quality,Opinion mining,Online reviews,Product design

论文评审过程：Received 1 December 2017, Revised 24 May 2018, Accepted 24 May 2018, Available online 26 May 2018, Version of Record 2 June 2018.

论文官网地址：https://doi.org/10.1016/j.elerap.2018.05.010