Incorporating word embeddings into topic modeling of short text
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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, Xie, Qianqian and Tian, Gang
(2019)
Incorporating word embeddings into topic modeling of short text.
Knowledge and Information Systems, 61 (2).
pp. 1123-1145.
ISSN 0219-1377
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| Item type | Article |
| URI | https://vuir.vu.edu.au/id/eprint/39790 |
| DOI | 10.1007/s10115-018-1314-7 |
| Official URL | https://link.springer.com/article/10.1007%2Fs10115... |
| Subjects | Historical > FOR Classification > 0806 Information Systems Historical > Faculty/School/Research Centre/Department > Centre for Applied Informatics |
| Keywords | short texts; topic models; short text topic modeling; Conditional Random Field regularized Topic Model; CRFTM |
| Citations in Scopus | 42 - View on Scopus |
| Download/View statistics | View download statistics for this item |
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