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Optimizing Semantic Coherence in Topic Models
David Mimno, Hanna Wallach, Edmund Talley et al., 2011. Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing.
Proposes a measure of topic coherence based on how often a topic's top words appear together in documents, and a topic model that improves it.
What it's used for here
Listed in the inductive methods survey's references on topic models.
Cited by on this site 1 record
1 methods surveys
SRCInductive methods
Cite it
Mimno, D., Wallach, H., Talley, E., Leenders, M., & McCallum, A. (2011). Optimizing Semantic Coherence in Topic Models. Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing. https://aclanthology.org/D11-1024/
@article{mimno2011optimizing,
author = {Mimno, David and Wallach, Hanna and Talley, Edmund and Leenders, Miriam and McCallum, Andrew},
title = {Optimizing Semantic Coherence in Topic Models},
journal = {Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing},
year = {2011},
url = {https://aclanthology.org/D11-1024/}
}TY - JOUR TI - Optimizing Semantic Coherence in Topic Models AU - Mimno, David AU - Wallach, Hanna AU - Talley, Edmund AU - Leenders, Miriam AU - McCallum, Andrew PY - 2011 JO - Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing UR - https://aclanthology.org/D11-1024/ ER -
Mimno, David et al.. “Optimizing Semantic Coherence in Topic Models.” Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing (2011).