Topic2features: a novel framework to classify noisy and sparse textual data using LDA topic distributions

Junaid Abdul Wahid, Lei Shi, Yufei Gao, Bei Yang, Yongcai Tao, Lin Wei, Shabir Hussain. Topic2features: a novel framework to classify noisy and sparse textual data using LDA topic distributions. PeerJ Computer Science, 7, 2021. [doi]

@article{WahidSGYTWH21,
  title = {Topic2features: a novel framework to classify noisy and sparse textual data using LDA topic distributions},
  author = {Junaid Abdul Wahid and Lei Shi and Yufei Gao and Bei Yang and Yongcai Tao and Lin Wei and Shabir Hussain},
  year = {2021},
  doi = {10.7717/peerj-cs.677},
  url = {https://doi.org/10.7717/peerj-cs.677},
  researchr = {https://researchr.org/publication/WahidSGYTWH21},
  cites = {0},
  citedby = {0},
  journal = {PeerJ Computer Science},
  volume = {7},
}