Paper
30 November 2022 Research on e-business image-text review mining based on depth feature fusion
Zhenqiang Liu, Weihong Yu
Author Affiliations +
Proceedings Volume 12456, International Conference on Artificial Intelligence and Intelligent Information Processing (AIIIP 2022); 124560W (2022) https://doi.org/10.1117/12.2659351
Event: International Conference on Artificial Intelligence and Intelligent Information Processing (AIIIP 2022), 2022, Qingdao, China
Abstract
The comment data of e-commerce platform is an important basis for consumers and marketers to make decisions. With the development of platform related technologies, the scale of image comment data shows an increasing trend with stronger information expression ability. At present, the research on the related technology of comment image and comment text is relatively mature, and how to effectively integrate the image part and text part is the focus of image-text comment data research. This paper proposes an e-commerce image-text comment mining model based on depth feature fusion. According to different stages, the model is mainly divided into four stages: image-text comment data acquisition, pre-processing, feature extraction and feature fusion. The e-commerce image-text comment data set is constructed through the data acquisition and pre-processing. In the feature extraction and fusion stage, the graphic information fusion is realized by designing the structure of deep neural network model. The fused features are applied to downstream mining tasks. Finally, the experiment on the data set shows that the classification accuracy of the model is higher than that of single text or single image, which shows that the model can effectively improve the mining effect of image-text comments.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhenqiang Liu and Weihong Yu "Research on e-business image-text review mining based on depth feature fusion", Proc. SPIE 12456, International Conference on Artificial Intelligence and Intelligent Information Processing (AIIIP 2022), 124560W (30 November 2022); https://doi.org/10.1117/12.2659351
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KEYWORDS
Data modeling

Image fusion

Data acquisition

Feature extraction

Data fusion

Image processing

Data conversion

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