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Evaluation methods for topic models
Hanna M. Wallach, Iain Murray, Ruslan Salakhutdinov et al., 2009. Proceedings of the 26th Annual International Conference on Machine Learning.
Shows that common estimators of how well a topic model predicts held-out documents are inaccurate, and offers two alternatives that are accurate and efficient.
What it's used for here
The inductive-methods survey lists it among the topic-modelling references.
Cited by on this site 1 record
1 methods surveys
SRCInductive methods
Cite it
Wallach, H. M., Murray, I., Salakhutdinov, R., & Mimno, D. (2009). Evaluation methods for topic models. Proceedings of the 26th Annual International Conference on Machine Learning. https://doi.org/10.1145/1553374.1553515
@article{wallach2009evaluation,
author = {Wallach, Hanna M. and Murray, Iain and Salakhutdinov, Ruslan and Mimno, David},
title = {Evaluation methods for topic models},
journal = {Proceedings of the 26th Annual International Conference on Machine Learning},
year = {2009},
doi = {10.1145/1553374.1553515},
url = {https://doi.org/10.1145/1553374.1553515}
}TY - JOUR TI - Evaluation methods for topic models AU - Wallach, Hanna M. AU - Murray, Iain AU - Salakhutdinov, Ruslan AU - Mimno, David PY - 2009 JO - Proceedings of the 26th Annual International Conference on Machine Learning DO - 10.1145/1553374.1553515 UR - https://doi.org/10.1145/1553374.1553515 ER -
Wallach, Hanna M. et al.. “Evaluation methods for topic models.” Proceedings of the 26th Annual International Conference on Machine Learning (2009). https://doi.org/10.1145/1553374.1553515.