Dynamic and Static Topic Model for Analyzing Time-Series Document Collections

Rem Hida, Naoya Takeishi, Takehisa Yairi, Koichi Hori. Dynamic and Static Topic Model for Analyzing Time-Series Document Collections. In Iryna Gurevych, Yusuke Miyao, editors, Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, ACL 2018, Melbourne, Australia, July 15-20, 2018, Volume 2: Short Papers. pages 516-520, Association for Computational Linguistics, 2018. [doi]

@inproceedings{HidaTYH18,
  title = {Dynamic and Static Topic Model for Analyzing Time-Series Document Collections},
  author = {Rem Hida and Naoya Takeishi and Takehisa Yairi and Koichi Hori},
  year = {2018},
  url = {https://aclanthology.info/papers/P18-2082/p18-2082},
  researchr = {https://researchr.org/publication/HidaTYH18},
  cites = {0},
  citedby = {0},
  pages = {516-520},
  booktitle = {Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, ACL 2018, Melbourne, Australia, July 15-20, 2018, Volume 2: Short Papers},
  editor = {Iryna Gurevych and Yusuke Miyao},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-948087-34-6},
}