SEHP: stacking-based ensemble learning on novel features for review helpfulness prediction
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Hardware and Architecture,Human-Computer Interaction,Information Systems,Software
Link
https://link.springer.com/content/pdf/10.1007/s10115-023-02020-3.pdf
Reference60 articles.
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3. Younas MZ, Malik MSI, Ignatov DI (2023) Automated defect identification for cell phones using language context, linguistic and smoke-word models. Expert Syst Appl 227:120236
4. Malik M, Hussain A (2017) Helpfulness of product reviews as a function of discrete positive and negative emotions. Comput Hum Behav 73:290–302
5. Singh JP et al (2017) Predicting the “helpfulness” of online consumer reviews. J Bus Res 70:346–355
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