Using XGBoost and Skip-Gram Model to Predict Online Review Popularity

Using XGBoost and Skip-Gram Model to Predict Online Review Popularity

Review popularity is similar to awareness and information accessibility components: Both have a profound effect on customer purchase decisions. Therefore, this study proposes a new method for predicting online review popularity that combines the extreme gradient boosting tree algorithm (XGBoost), to...

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Bibliographic Details
Main Authors:	Lien Thi Kim Nguyen, Hao-Hsuan Chung, Kristine Velasquez Tuliao, Tom M. Y. Lin
Format:	Article
Language:	English
Published:	SAGE Publishing 2020-12-01
Series:	SAGE Open
Online Access:	https://doi.org/10.1177/2158244020983316

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