Topic Modelling with NMF vs. Expert Topic Annotation: The Case Study of Russian Fiction

Tatiana Y. Sherstinova, Olga Mitrofanova, Tatiana Skrebtsova, Ekaterina Zamiraylova, Margarita Kirina. Topic Modelling with NMF vs. Expert Topic Annotation: The Case Study of Russian Fiction. In Lourdes Martínez-Villaseñor, Oscar Herrera-Alcántara, Hiram E. Ponce, Félix Castro Espinoza, editors, Advances in Computational Intelligence - 19th Mexican International Conference on Artificial Intelligence, MICAI 2020, Mexico City, Mexico, October 12-17, 2020, Proceedings, Part II. Volume 12469 of Lecture Notes in Computer Science, pages 134-151, Springer, 2020. [doi]

@inproceedings{SherstinovaMSZK20,
  title = {Topic Modelling with NMF vs. Expert Topic Annotation: The Case Study of Russian Fiction},
  author = {Tatiana Y. Sherstinova and Olga Mitrofanova and Tatiana Skrebtsova and Ekaterina Zamiraylova and Margarita Kirina},
  year = {2020},
  doi = {10.1007/978-3-030-60887-3_13},
  url = {https://doi.org/10.1007/978-3-030-60887-3_13},
  researchr = {https://researchr.org/publication/SherstinovaMSZK20},
  cites = {0},
  citedby = {0},
  pages = {134-151},
  booktitle = {Advances in Computational Intelligence - 19th Mexican International Conference on Artificial Intelligence, MICAI 2020, Mexico City, Mexico, October 12-17, 2020, Proceedings, Part II},
  editor = {Lourdes Martínez-Villaseñor and Oscar Herrera-Alcántara and Hiram E. Ponce and Félix Castro Espinoza},
  volume = {12469},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-60887-3},
}