SeNMFk-SPLIT: large corpora topic modeling by semantic non-negative matrix factorization with automatic model selection

Maksim Ekin Eren, Nick Solovyev, Manish Bhattarai, Kim Ø. Rasmussen, Charles Nicholas, Boian S. Alexandrov. SeNMFk-SPLIT: large corpora topic modeling by semantic non-negative matrix factorization with automatic model selection. In Curtis Wigington, Matthew Hardy, Steven R. Bagley, Steven J. Simske, editors, Proceedings of the 22nd ACM Symposium on Document Engineering, DocEng 2022, San Jose, California, USA, September 20-23, 2022. ACM, 2022. [doi]

@inproceedings{ErenSBRNA22,
  title = {SeNMFk-SPLIT: large corpora topic modeling by semantic non-negative matrix factorization with automatic model selection},
  author = {Maksim Ekin Eren and Nick Solovyev and Manish Bhattarai and Kim Ø. Rasmussen and Charles Nicholas and Boian S. Alexandrov},
  year = {2022},
  doi = {10.1145/3558100.3563844},
  url = {https://doi.org/10.1145/3558100.3563844},
  researchr = {https://researchr.org/publication/ErenSBRNA22},
  cites = {0},
  citedby = {0},
  booktitle = {Proceedings of the 22nd ACM Symposium on Document Engineering, DocEng 2022, San Jose, California, USA, September 20-23, 2022},
  editor = {Curtis Wigington and Matthew Hardy and Steven R. Bagley and Steven J. Simske},
  publisher = {ACM},
  isbn = {978-1-4503-9544-1},
}