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Incorporating Lexical Priors into Topic Models
Jagadeesh Jagarlamudi, Hal Daum'e III, Raghavendra Udupa, 2012. Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics.
Shows how to seed topic models with a few words per topic, so the topics found match what an analyst expects.
What it's used for here
The inductive-methods survey lists it among guided topic models for the manuscript.
Cited by on this site 1 record
1 methods surveys
SRCInductive methods
Cite it
Jagarlamudi, J., Daum'e III, H., & Udupa, R. (2012). Incorporating Lexical Priors into Topic Models. Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics. https://aclanthology.org/E12-1021/
@article{jagarlamudi2012incorporating,
author = {Jagarlamudi, Jagadeesh and Daum'e III, Hal and Udupa, Raghavendra},
title = {Incorporating Lexical Priors into Topic Models},
journal = {Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics},
year = {2012},
url = {https://aclanthology.org/E12-1021/}
}TY - JOUR TI - Incorporating Lexical Priors into Topic Models AU - Jagarlamudi, Jagadeesh AU - Daum'e III, Hal AU - Udupa, Raghavendra PY - 2012 JO - Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics UR - https://aclanthology.org/E12-1021/ ER -
Jagarlamudi, Jagadeesh et al.. “Incorporating Lexical Priors into Topic Models.” Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics (2012).