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Generation of topic evolution graphs from short text streams

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
Uncontrolled 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
Subjects: Current > FOR Classification > 0801 Artificial Intelligence and Image Processing
Current > Division/Research > Institute for Sustainable Industries and Liveable Cities
SWORD Depositor: Symplectic Elements
Depositing User: Symplectic Elements
Date Deposited: 03 Apr 2020 00:18
Last Modified: 17 Apr 2020 02:14
URI: http://vuir.vu.edu.au/id/eprint/40233
DOI: https://doi.org/10.1016/j.neucom.2019.11.077
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Citations in Scopus: 1 - View on Scopus

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