Jim Gouldstone, Hugo Liu, Henry Lieberman, Hiroshi Ishii
For a given word, a thesaurus offers a selection of synonyms. It does not, however, suggest how a user might choose between these synonyms. This paper presents Saurus, an affectively augmented thesaurus. In Saurus, an emotional rating is attached to every entry and synonym. This provides a user with a friendly and logical basis for selecting one synonym amongst many: emotional connotation. Using this same basis, a program can instantly replace many words within a document, enabling the unification of word-choice decisions under a coherent affective tone. Saurus can well support a writer’s brainstorming efforts, allowing her to easily explore many affective revisions.
Subjects: 13. Natural Language Processing; 6.3 User Interfaces
Submitted: May 19, 2006