Home
Resource
Computational approaches for semantics-aware typographical choices
PDF
PDF format is widely accepted and good for printing.
Plug-in required
PDF-1(18.43 MB)
Citation & Export
View Usage Statistics
Staff View

Citation & Export
Hide

Simple citation

Kulahcioglu, Tugba. Computational approaches for semantics-aware typographical choices. Retrieved from https://doi.org/doi:10.7282/t3-p12c-4q57

Export

Click here for information about Citation Management Tools at Rutgers.

Statistics
Hide

Description

TitleComputational approaches for semantics-aware typographical choices
NameKulahcioglu, Tugba (author); de Melo, Gerard (chair); Boularias, Abdeslam (internal member); Stone, Matthew (internal member); Mihalcea, Rada (outside member); Rutgers University; School of Graduate Studies
Date Created2020
Other Date2020-10 (degree)
SubjectTypography, Computer Science
Extent1 online resource (vii, 118 pages) : illustrations
DescriptionTypographic signals carry strong semantic connotations, e.g., they may convey excitement, anger or even sweetness, which empowers them to affect almost any aspect of life, from perception of an email, to the perceived sweetness of a cup of coffee. This thesis explores some of the possibilities that can be offered by computational approaches to support users in understanding and taking advantage of this impact. More specifically, the focus is on learning font semantics from crowdsourced and Web data, and using this information to facilitate font search and recommendation. Among the novel contributions are the use of CNN-based embeddings to represent fonts in attribute learning, leveraging emotion theories and lexical relations to infer font semantics, a multimodal font search method that allows specifying a reference font together with the target semantic additions, enabled by a cross-modal representation of fonts and words, and the proposal of affect-aware word clouds that let users specify a target emotion, which is used to recommend fonts and color palettes with congruent affective connotations.
NotePh.D.
NoteIncludes bibliographical references
Genretheses, ETD doctoral
Persistent URLhttps://doi.org/doi:10.7282/t3-p12c-4q57
LanguageEnglish
CollectionSchool of Graduate Studies Electronic Theses and Dissertations
Organization NameRutgers, The State University of New Jersey
RightsThe author owns the copyright to this work.
Version 8.5.5
Rutgers University Libraries - Copyright ©2024