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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2020-12-01
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| Series: | SAGE Open |
| Online Access: | https://doi.org/10.1177/2158244020983316 |