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Data · dataset · 2022

结构图和结果图

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[Objective] The helpfulness of online reviews helps consumers, who quickly obtain effective information.

Description

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. 

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Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
ScienceDB10.57760/sciencedb.0364911 d agoJSON v1
FieldAssertionExtractorEvidence
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concepts[field].local:field:earth-environmentalmapping · scidb cnconnector:scidb_cn@1.0.0
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concepts[field].local:field:humanitiesmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:life-sciencesmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:social-sciencemapping · scidb cnconnector:scidb_cn@1.0.0
concepts[modality].local:modality:textenrichment · scidb cnkeyword-concept-rules@1.0.0title+description (75%)
descriptionsource · scidb cnconnector:scidb_cn@1.0.0/metadata/dc/description
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