The Font Design Recommendation System For The Conmment Text Of Social Images Based On Emotional Image Driven

Chinese is the representative of Chinese civilization.In the new media era,integrating Chinese with social media,researching its cooperation with social images are of great significance to spread of Chinese characters.This paper researches and designs a font design recommendation system for the comment text of social images based on Emotional image driven.The system is mainly applied to the process of text annotation to social image.The system recommends the appropriate font or the similar ones by choosing different types of text emotions.In order to realize the system,this paper uses literature,experiment,questionnaire and design verification methods to go on research,which specifically includes the following:Firstly,studying the development,classification,characteristics and emotion of Chinese through literature method.Secondly,researching the font classification dimension by dichotomy method through the experiment.The font is wholly divided into non-serif,serif body and,handwriting.The characteristic classification dimension of the non-serifs is about stroke thickness,radius.The characteristic classification dimension of serifs is about the stroke weight,contrast size of word weight.Handwriting is divided into official script,regular script,running script and cursive by font evolution history.Then coordinate space is established based on characteristic dimension.Thirdly,researching eigenvalues and spatial location of the fonts by using Likert scale through questionnaires.Then the classification of the fonts,the typical fonts and distance between them are determined by K-means cluster analysis,thereby determining the characteristic model of the fonts.Fourthly,studying the emotional image dimension of fonts,which is determined as classical/modern,serious/lively,decorative/minimalist,mature/young,rugged/refined,powerful/weak.Then questionnaires using Likert scale are applied to research the emotional image of typical fonts and determine the position of emotion image dimension of fonts,thereby determining the emotional image model of the font.Finally,combining the characteristics with emotional image model of fonts to design the font recommendation system.This paper mainly designs two applications,including font design recommendation APP for the comment text of social images based on emotional image driven and PPT font design recommended plug-ins respectively.Then the design verification can be completed based on all above.