An analysis of the user occupational class through Twitter content

Anthology ID:: P15-1169
Volume:: Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
Month:: July
Year:: 2015
Address:: Beijing, China
Editors:: Chengqing Zong, Michael Strube
Venues:: ACL | IJCNLP
SIG:
Publisher:: Association for Computational Linguistics
Note:
Pages:: 1754–1764
Language:
URL:: https://aclanthology.org/P15-1169
DOI:: 10.3115/v1/P15-1169
Bibkey:
Cite (ACL):: Daniel Preoţiuc-Pietro, Vasileios Lampos, and Nikolaos Aletras. 2015. An analysis of the user occupational class through Twitter content. In Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 1754–1764, Beijing, China. Association for Computational Linguistics.
Cite (Informal):: An analysis of the user occupational class through Twitter content (Preoţiuc-Pietro et al., ACL-IJCNLP 2015)
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PDF:: https://preview.aclanthology.org/ingest-bitext-workshop/P15-1169.pdf
Presentation:: P15-1169.Presentation.pdf