Exploring Demographic Language Variations to Improve Multilingual Sentiment Analysis in Social Media

Svitlana Volkova, Theresa Wilson, David Yarowsky


Anthology ID:
D13-1187
Volume:
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing
Month:
October
Year:
2013
Address:
Seattle, Washington, USA
Venue:
EMNLP
SIG:
SIGDAT
Publisher:
Association for Computational Linguistics
Note:
Pages:
1815–1827
Language:
URL:
https://aclanthology.org/D13-1187
DOI:
Bibkey:
Cite (ACL):
Svitlana Volkova, Theresa Wilson, and David Yarowsky. 2013. Exploring Demographic Language Variations to Improve Multilingual Sentiment Analysis in Social Media. In Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, pages 1815–1827, Seattle, Washington, USA. Association for Computational Linguistics.
Cite (Informal):
Exploring Demographic Language Variations to Improve Multilingual Sentiment Analysis in Social Media (Volkova et al., EMNLP 2013)
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PDF:
https://preview.aclanthology.org/paclic-22-ingestion/D13-1187.pdf