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7 December 2023 User profiling based on sentiment analysis and text topic features
Yue Zhang, Feifei Yang
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Proceedings Volume 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023); 129412Q (2023) https://doi.org/10.1117/12.3011663
Event: Third International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 203), 2023, Yinchuan, China
Abstract
In order to better improve the service quality of scenic spots and the travel experience of users, this paper uses sentiment analysis and text theme features to construct scenic spot portraits and user portraits and establishes the coupling relationship between scenic spot portraits and user portraits. The application of scenic spot portraits and user portraits can help tourism companies better understand the characteristics and needs of users and destinations, improve the personalization and accuracy of tourism products and services, and enhance the market competitiveness and development potential of enterprises.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Yue Zhang and Feifei Yang "User profiling based on sentiment analysis and text topic features", Proc. SPIE 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023), 129412Q (7 December 2023); https://doi.org/10.1117/12.3011663
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KEYWORDS
Data mining
Data modeling
Profiling
Databases
Industrial applications
Statistical analysis
Visualization
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