Social media analytics for quality surveillance and safety hazard detection in baby cribs

•A method for discovering defects in online reviews of baby cribs is proposed.•The efficacy of a smoke word method and sentiment analysis methods are compared.•The smoke word method that is proposed for online reviews is found to strongly predict the existence of safety defects.•Domain specific smok...

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Veröffentlicht in:	Safety science 2018-04, Vol.104, p.260-268
Hauptverfasser:	Mummalaneni, Vaibhav, Gruss, Richard, Goldberg, David M., Ehsani, Johnathon P., Abrahams, Alan S.
Format:	Artikel
Sprache:	eng
Schlagworte:	Baby cribs Data mining Defect discovery Defects Digital media Distributors Fatalities Hazards Indicators Injuries Internet Online analytical processing Online reviews Quality management Reviews Risk assessment Safety Sentiment analysis Smoke Social networks Surveillance Text mining
Online-Zugang:	Volltext
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