Generation of topic evolution graphs from short text streams
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Gao, W, Peng, M, Wang, H, Zhang, Yanchun ORCID: 0000-0002-5094-5980, Han, W, Hu, G and Xie, Q
(2020)
Generation of topic evolution graphs from short text streams.
Neurocomputing, 383.
pp. 282-294.
ISSN 0925-2312
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Item type | Article |
URI | https://vuir.vu.edu.au/id/eprint/40233 |
DOI | https://doi.org/10.1016/j.neucom.2019.11.077 |
Official URL | https://www.sciencedirect.com/science/article/pii/... |
Subjects | Historical > FOR Classification > 0801 Artificial Intelligence and Image Processing Current > Division/Research > Institute for Sustainable Industries and Liveable Cities |
Keywords | topic evolution mining; short texts; topic evolutionary graphs; Encoder-only Transformer Language Model; ETLM; weighted Conditional random field regularized Correlated Topic Model; evolution mining; word embeddings |
Citations in Scopus | 25 - View on Scopus |
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