Sense and Sentiment

Francis Bond, Merrick Choo


Abstract
In this paper we examine existing sentiment lexicons and sense-based sentiment-tagged corpora to find out how sense and concept-based semantic relations effect sentiment scores (for polarity and valence). We show that some relations are good predictors of sentiment of related words: antonyms have similar valence and opposite polarity, synonyms similar valence and polarity, as do many derivational relations. We use this knowledge and existing resources to build a sentiment annotated wordnet of English, and show how it can be used to produce sentiment lexicons for other languages using the Open Multilingual Wordnet.
Anthology ID:
2022.lrec-1.7
Volume:
Proceedings of the Thirteenth Language Resources and Evaluation Conference
Month:
June
Year:
2022
Address:
Marseille, France
Editors:
Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
61–69
Language:
URL:
https://aclanthology.org/2022.lrec-1.7
DOI:
Bibkey:
Cite (ACL):
Francis Bond and Merrick Choo. 2022. Sense and Sentiment. In Proceedings of the Thirteenth Language Resources and Evaluation Conference, pages 61–69, Marseille, France. European Language Resources Association.
Cite (Informal):
Sense and Sentiment (Bond & Choo, LREC 2022)
Copy Citation:
PDF:
https://preview.aclanthology.org/nschneid-patch-1/2022.lrec-1.7.pdf
Code
 bond-lab/sensitive +  additional community code