Journal article
Scientometrics, vol. 127, 2022, pp. 1543--1563
APA
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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
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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
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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}
}