SASOBUS: Semi-automatic Sentiment Domain Ontology Building Using Synsets

Autor: Kim Schouten, Flavius Frasincar, Lisa Zhuang, Ewelina Dera

Publikováno v: 17th Extended Semantic Web Conference (ESWC 2020), 105-120
STARTPAGE=105;ENDPAGE=120;TITLE=17th Extended Semantic Web Conference (ESWC 2020)
The Semantic Web ISBN: 9783030494605
ESWC

In this paper, a semi-automatic approach for building a sentiment domain ontology is proposed. Differently than other methods, this research makes use of synsets in term extraction, concept formation, and concept subsumption. Using several state-of-t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::934246dc7ce05d3aa8be7ac482afc3f4
https://pure.eur.nl/en/publications/3fe73ee8-5d5d-44ca-abc8-1e4955b173f7