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A network approach to topic models
Martin Gerlach, Tiago P. Peixoto, Eduardo G. Altmann, 2018. Science Advances.
Recasts topic modelling as community detection in a word-document network, so the number of topics is inferred rather than chosen.
What it's used for here
The inductive-methods survey proposes it for topic structure without a fixed topic count.
Cited by on this site 1 record
1 methods surveys
SRCInductive methods
Cite it
Gerlach, M., Peixoto, T. P., & Altmann, E. G. (2018). A network approach to topic models. Science Advances. https://doi.org/10.1126/sciadv.aaq1360
@article{gerlach2018network,
author = {Gerlach, Martin and Peixoto, Tiago P. and Altmann, Eduardo G.},
title = {A network approach to topic models},
journal = {Science Advances},
year = {2018},
doi = {10.1126/sciadv.aaq1360},
url = {https://doi.org/10.1126/sciadv.aaq1360}
}TY - JOUR TI - A network approach to topic models AU - Gerlach, Martin AU - Peixoto, Tiago P. AU - Altmann, Eduardo G. PY - 2018 JO - Science Advances DO - 10.1126/sciadv.aaq1360 UR - https://doi.org/10.1126/sciadv.aaq1360 ER -
Gerlach, Martin et al.. “A network approach to topic models.” Science Advances (2018). https://doi.org/10.1126/sciadv.aaq1360.