Topic-Noise Models: Modeling Topic and Noise Distributions in Social Media Post Collections. Churchill, R. & Singh, L. In Bailey, J., Miettinen, P., Koh, Y. S., Tao, D., & Wu, X., editors, IEEE International Conference on Data Mining, ICDM 2021, Auckland, New Zealand, December 7-10, 2021, pages 71–80, 2021. IEEE.
Topic-Noise Models: Modeling Topic and Noise Distributions in Social Media Post Collections [link]Paper  doi  bibtex   
@inproceedings{DBLP:conf/icdm/ChurchillS21,
  author       = {Rob Churchill and
                  Lisa Singh},
  editor       = {James Bailey and
                  Pauli Miettinen and
                  Yun Sing Koh and
                  Dacheng Tao and
                  Xindong Wu},
  title        = {Topic-Noise Models: Modeling Topic and Noise Distributions in Social
                  Media Post Collections},
  booktitle    = {{IEEE} International Conference on Data Mining, {ICDM} 2021, Auckland,
                  New Zealand, December 7-10, 2021},
  pages        = {71--80},
  publisher    = {{IEEE}},
  year         = {2021},
  url          = {https://doi.org/10.1109/ICDM51629.2021.00017},
  doi          = {10.1109/ICDM51629.2021.00017},
  timestamp    = {Mon, 31 Jan 2022 08:58:55 +0100},
  biburl       = {https://dblp.org/rec/conf/icdm/ChurchillS21.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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