Title: Creative graphic symbol design based on text intelligent generation technology

Authors: Jing Zhuo

Addresses: College of Landscape Architecture and Art, Fujian Agriculture and Forestry University, Fuzhou 350001, Fujian, China

Abstract: To convey information intuitively and accurately and innovate graphic symbol design, the definition and classification of graphic symbols are deeply studied in this paper. Based on its development status, this paper combined text intelligent generation technology to explore effectively. To show its design effect, this paper conducted experiments through datasets. The training similarity and visual communication were analysed respectively and compared with the design effect of traditional algorithms. The experimental results showed that under different topic classifications, the average topic relevance of creative graphic symbols designed based on text intelligent generation technology reached 90.67%. From the experimental results, it could be seen that the design of creative graphic symbols based on text intelligent generation technology was ideal, which was more consistent with the theme and more conducive to the transmission and expression of cultural connotation.

Keywords: creative graphic symbol design; text generation technology; convolutional neural network; visual communication.

DOI: 10.1504/IJART.2025.150028

International Journal of Arts and Technology, 2025 Vol.15 No.4, pp.414 - 432

Received: 15 May 2025
Accepted: 25 Jun 2025
Published online: 21 Nov 2025 *

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