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
- 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)
- PDF:
- https://preview.aclanthology.org/teach-a-man-to-fish/P15-1169.pdf