2026-10-14T05:06:00Z https://www.scidb.cn/oai

10.57760/sciencedb.03649 2022-10-20T13:00:12Z

2022-10-20 结构图和结果图 doi:10.57760/sciencedb.03649 en [Objective] The helpfulness of online reviews helps consumers, who quickly obtain effective information. This paper utilizes a deep learning model to recognize the helpfulness of travel reviews, which can better benefit consumers and hotel managers.[Method] This paper proposes a helpfulness recognition method based on multi-dimensional graph convolutional network and multi-modal fusion, this method uses BERT and MAE to pre-train text and pictures, respectively, then adopts a multi-view graph neural network to model multi-modal features, which captures the interaction information between multimodalities through the attention mechanism, and finally integrates text features for helpfulness detection.  multimodal features; travel reviews; helpfulness detection liu yang PUBLIC https://creativecommons.org/licenses/by/4.0/ dataset Science Data Bank