Chinese Font Recommendation Based on Emotional Adjectives
Author:
Affiliation:
1. National Taiwan Normal University, Department of Graphic Arts and Communications, Taipei, Taiwan
Publisher
ACM
Reference11 articles.
1. Mengtsung T. Yen-Chu L. Pei-Chun C. & Zou-Ren K. (2012). A study of Chinese and English typefaces images. Journal of Cast 2012. 673--691. Mengtsung T. Yen-Chu L. Pei-Chun C. & Zou-Ren K. (2012). A study of Chinese and English typefaces images. Journal of Cast 2012. 673--691.
2. Pavaloaia V.-D.aEmail Author Teodor E.-M.b Fotache D.a Danileţ M.c (2019). Opinion mining on social media data: Sentiment analysis of user preferences. Sustainability (Switzerland). Volume 11 Issue 16 4459. Pavaloaia V.-D.aEmail Author Teodor E.-M.b Fotache D.a Danileţ M.c (2019). Opinion mining on social media data: Sentiment analysis of user preferences. Sustainability (Switzerland). Volume 11 Issue 16 4459.
3. Emotion-based Hangul font recommendation system using crowdsourcing
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