Zhentao Liang

PhD in Information Science

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Semantic-enhanced topic evolution analysis: a combination of the dynamic topic model and word2vec


Journal article


Qiang Gao, Xiao Huang, Ke Dong, Zhentao Liang, Jiang Wu
Scientometrics, vol. 127, 2022, pp. 1543--1563

Cite

Cite

APA   Click to copy
Gao, Q., Huang, X., Dong, K., Liang, Z., & Wu, J. (2022). Semantic-enhanced topic evolution analysis: a combination of the dynamic topic model and word2vec. Scientometrics, 127, 1543–1563.


Chicago/Turabian   Click to copy
Gao, Qiang, Xiao Huang, Ke Dong, Zhentao Liang, and Jiang Wu. “Semantic-Enhanced Topic Evolution Analysis: a Combination of the Dynamic Topic Model and word2vec.” Scientometrics 127 (2022): 1543–1563.


MLA   Click to copy
Gao, Qiang, et al. “Semantic-Enhanced Topic Evolution Analysis: a Combination of the Dynamic Topic Model and word2vec.” Scientometrics, vol. 127, 2022, pp. 1543–63.


BibTeX   Click to copy

@article{gao2022a,
  title = {Semantic-enhanced topic evolution analysis: a combination of the dynamic topic model and word2vec},
  year = {2022},
  journal = {Scientometrics},
  pages = {1543--1563},
  volume = {127},
  author = {Gao, Qiang and Huang, Xiao and Dong, Ke and Liang, Zhentao and Wu, Jiang}
}


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