{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/wordnet-feelings-a-linguistic-categorisation","title":"WordNet-feelings: A linguistic categorisation of human feelings","arxiv_id":"1811.02435","date":"2018-11-06","proceeding":null,"authors":["Advaith Siddharthan","Nicolas Cherbuin","Paul J. Eslinger","Kasia Kozlowska","Nora A. Murphy","Leroy Lowe"],"abstract":"In this article, we present the first in depth linguistic study of human\nfeelings. While there has been substantial research on incorporating some\naffective categories into linguistic analysis (e.g. sentiment, and to a lesser\nextent, emotion), the more diverse category of human feelings has thus far not\nbeen investigated. We surveyed the extensive interdisciplinary literature\naround feelings to construct a working definition of what constitutes a feeling\nand propose 9 broad categories of feeling. We identified potential feeling\nwords based on their pointwise mutual information with morphological variants\nof the word `feel' in the Google n-gram corpus, and present a manual annotation\nexercise where 317 WordNet senses of one hundred of these words were\ncategorised as `not a feeling' or as one of the 9 proposed categories of\nfeeling. We then proceeded to annotate 11386 WordNet senses of all these words\nto create WordNet-feelings, a new affective dataset that identifies 3664 word\nsenses as feelings, and associates each of these with one of the 9 categories\nof feeling. WordNet-feelings can be used in conjunction with other datasets\nsuch as SentiWordNet that annotate word senses with complementary affective\nproperties such as valence and intensity.","url_abs":"http://arxiv.org/abs/1811.02435v1","url_pdf":"http://arxiv.org/pdf/1811.02435v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"wordnet-feelings-a-linguistic-categorisation","repo_url":"https://github.com/as36438/WordNet-feelings","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[{"slug":"wordnet-feelings","name":"WordNet-feelings","full_name":""}],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}