Selected Publications on Text Analysis


Editor's invited review paper:
  • Ke, Z., Ji, P., Jin, J. and Li, W. (2024).
    Recent Advances in Text Analysis. (website, arXiv, pdf)
    Annual Review of Statistics and Its Application, , 11, 347-372.
Method and theory:
  • Ke, Z. and Wang, M. (2024).
    Using SVD for Topic Modeling. (website, arXiv, pdf, code)
    Journal of the American Statistical Association, , 119(545), 434-449.
  • Ke, Z. and Wang, J. (2024).
    Entry-wise Eigenvector Analysis and Improved Rates for Topic Modeling on Short Documents. (website, arXiv, pdf)
    Mathematics, , 12(11), 1682.
  • Cai, T., Ke, Z. and Turner, P. (2023).
    Testing High-dimensional Multinomials with Applications to Text Analysis. (website, pdf, supplement)
    Journal of the Royal Statistical Society Series B (to appear).
Applications:
  • Ke, Z., Kelly, B. and Xiu, D. (2019).
    Predicting Returns with Text Data. (SSRN, pdf)
  • Duan, Y., Ke, Z. and Wang, M. (2019).
    State Aggregation Learning from Markov Transition Data. (website, pdf, supplement)
    33rd Conference on Neural Information Processing Systems (NeurIPS 2019).
  • Liu, H., Ke, Z., Gagnon, J., Valian, H., Sidor, L (2024).
    Using Natural Language Processing for Data-driven Risk Management. (pdf)