Prediction and modelling online reviews helpfulness using 1D Convolutional Neural Networks

作者：

Highlights：

• Classification approach using an 1D Convolutional Neural Networks (CNNs).

• Automatic data classification of helpful online reviews using cluster analysis.

• Importance of content and context of the reviews in predicting helpfulness.

• Neuronal encoding to identify different types of clusters for helpful and not helpful reviews.

摘要

•Classification approach using an 1D Convolutional Neural Networks (CNNs).•Automatic data classification of helpful online reviews using cluster analysis.•Importance of content and context of the reviews in predicting helpfulness.•Neuronal encoding to identify different types of clusters for helpful and not helpful reviews.

论文关键词：Helpfulness,Online reviews,Convolutional Neural Networks,Classification

论文评审过程：Received 19 September 2021, Revised 28 January 2022, Accepted 26 February 2022, Available online 9 March 2022, Version of Record 12 March 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.116787