Exploring Demographic Language Variations to Improve Multilingual Sentiment Analysis in Social Media
- 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:
- 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)
- PDF:
- https://preview.aclanthology.org/paclic-22-ingestion/D13-1187.pdf