BATS: A Spectral Biclustering Approach to Single Document Topic Modeling and Segmentation

@article{Wang2021BATSAS,
  title={BATS: A Spectral Biclustering Approach to Single Document Topic Modeling and Segmentation},
  author={Sirui Wang and Yuwei Tu and Qiong Wu and Adam Hare and Zhenming Liu and Christopher G. Brinton and Yanhua Li},
  journal={ArXiv},
  year={2021},
  volume={abs/2008.02218}
}
Existing topic modeling and text segmentation methodologies generally require large datasets for training, limiting their capabilities when only small collections of text are available. In this work, we reexamine the inter-related problems of “topic identification” and “text segmentation” for sparse document learning, when there is a single new text of interest. In developing a methodology to handle single documents, we face two major challenges. First is sparse information : with access to… Expand

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