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Design and Analysis of Chinese Font Recommendation with Emotional Adjectives
Artificial Intelligence Design
Natural Language Processing
Artificial intelligence design has gradually attracted attention in the field of graphic communication and related design. Design agents and automated high-speed design systems constructed using artificial intelligence, machine learning, and natural language processing technologies have begun to play a very important role on some design and e-commerce platforms. Development of font recommendation method can design automation to provide technical basis for the future. It helps to meet the needs of immediacy, customized, reduce the cost, and extremely large new trend of form design requirements. This paper will design a content-based font recommendation method for graphic design, and develop an emotional classifier for short text sentences using the word embedding technology and the collected metaphors corresponding to 23 specific emotional adjectives. The most suitable emotional representation of an input sentence can be obtained resulting from this classifier, and finally get its font recommendation according to the relationship of emotion adjectives and fonts. A prototype application system test platform will also be constructed in this project to evaluate the effectiveness of this font recommendation method, and explore the possibility of its application in plane communication and design. The research results have shown that in the design of recommendation methods for Chinese fonts based on emotional adjectives, the output results by selection algorithm of emotional adjectives are relatively consistent with the subjects’ understanding of the sentences. Most Chinese font assignment is highly matched with the meanings of the sentences. But the NO.1 font output by the system and the random fonts have little impact on the matching degree of the meanings of the sentences. To sum up, the recommendation methods designed by this study are highly feasible, but they still need some improvement.
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