Analysing domain suitability of a sentiment lexicon by identifying distributionally bipolar words

Lucie Flekova, Daniel Preoţiuc-Pietro, Eugen Ruppert


Anthology ID:
W15-2911
Volume:
Proceedings of the 6th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis
Month:
September
Year:
2015
Address:
Lisboa, Portugal
Venues:
WASSA | WS
SIGs:
SIGNLL | SIGANN | SIGSEM
Publisher:
Association for Computational Linguistics
Note:
Pages:
77–84
Language:
URL:
https://aclanthology.org/W15-2911
DOI:
10.18653/v1/W15-2911
Bibkey:
Cite (ACL):
Lucie Flekova, Daniel Preoţiuc-Pietro, and Eugen Ruppert. 2015. Analysing domain suitability of a sentiment lexicon by identifying distributionally bipolar words. In Proceedings of the 6th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, pages 77–84, Lisboa, Portugal. Association for Computational Linguistics.
Cite (Informal):
Analysing domain suitability of a sentiment lexicon by identifying distributionally bipolar words (Flekova et al., 2015)
Copy Citation:
PDF:
https://aclanthology.org/W15-2911.pdf