A Comparison of Sense-level Sentiment Scores

Francis Bond, Arkadiusz Janz, Maciej Piasecki


Abstract
In this paper, we compare a variety of sense-tagged sentiment resources, including SentiWordNet, ML-Senticon, plWordNet emo and the NTU Multilingual Corpus. The goal is to investigate the quality of the resources and see how well the sentiment polarity annotation maps across languages.
Anthology ID:
2019.gwc-1.46
Volume:
Proceedings of the 10th Global Wordnet Conference
Month:
July
Year:
2019
Address:
Wroclaw, Poland
Venue:
GWC
SIG:
Publisher:
Global Wordnet Association
Note:
Pages:
363–372
Language:
URL:
https://aclanthology.org/2019.gwc-1.46
DOI:
Bibkey:
Cite (ACL):
Francis Bond, Arkadiusz Janz, and Maciej Piasecki. 2019. A Comparison of Sense-level Sentiment Scores. In Proceedings of the 10th Global Wordnet Conference, pages 363–372, Wroclaw, Poland. Global Wordnet Association.
Cite (Informal):
A Comparison of Sense-level Sentiment Scores (Bond et al., GWC 2019)
Copy Citation:
PDF:
https://preview.aclanthology.org/author-url/2019.gwc-1.46.pdf