Research and Design of an Information Interaction Platform Based on Transformer Models and Data Visualization

With the rapid advancement of information technology, various industries are generating vast amounts of complex data, making their efficient processing and utilization an urgent issue. Traditional data analysis methods exhibit limitations in handling complex, diverse, and rapidly growing datasets due to inadequate processing capabilities, low algorithmic efficiency, and inability to meet real-time requirements. To address these challenges, this study designs and implements an information interaction platform based on Transformer models and data visualization techniques. By integrating Transformer models, the platform achieves deep data analysis and intelligent report generation; simultaneously, it employs ECharts technology to construct an interactive data visualization interface, enhancing the intuitiveness and operability of data presentation. The platform effectively processes complex data, captures long-range dependencies within the data, and provides accurate analysis results and reports. This research offers an innovative solution for the analysis and application of complex data, possessing significant theoretical and practical value.

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Publication Details

Published
2024-11-28
DOI
https://doi.org/10.1109/icaica63239.2024.10823065
Primary Topic
Advanced Computational Techniques and Applications
Type
article
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article

Research and Design of an Information Interaction Platform Based on Transformer Models and Data Visualization

Hu Zhang, Jia Cui, Han Dong
Advanced Computational Techniques and Applications
article

Research and Design of an Information Interaction Platform Based on Transformer Models and Data Visualization

Hu Zhang, Jia Cui, Han Dong
article en

Abstract

With the rapid advancement of information technology, various industries are generating vast amounts of complex data, making their efficient processing and utilization an urgent issue. Traditional data analysis methods exhibit limitations in handling complex, diverse, and rapidly growing datasets due to inadequate processing capabilities, low algorithmic efficiency, and inability to meet real-time requirements. To address these challenges, this study designs and implements an information interaction platform based on Transformer models and data visualization techniques. By integrating Transformer models, the platform achieves deep data analysis and intelligent report generation; simultaneously, it employs ECharts technology to construct an interactive data visualization interface, enhancing the intuitiveness and operability of data presentation. The platform effectively processes complex data, captures long-range dependencies within the data, and provides accurate analysis results and reports. This research offers an innovative solution for the analysis and application of complex data, possessing significant theoretical and practical value.

Wuhan University of Technology (CN)
Openalex Percentile: Top 77%
Advanced Computational Techniques and Applications
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