Generation of topic evolution graphs from short text streams
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Gao, Wang, Peng, Min, Wang, Hua 
ORCID: https://orcid.org/0000-0002-8465-0996, Zhang, Yanchun ORCID: https://orcid.org/0000-0002-5094-5980, Han, Weiguang, Hu, Gang and Xie, Qianqian
(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 | 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 | 27 - View on Scopus |
| Download/View statistics | View download statistics for this item |
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