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Incorporating word embeddings into topic modeling of short text

Gao, W, Peng, M, Wang, Hua ORCID: 0000-0002-8465-0996, Zhang, Yanchun ORCID: 0000-0002-5094-5980, Xie, Q and Tian, G (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
Uncontrolled Keywords: short texts; topic models; short text topic modeling; Conditional Random Field regularized Topic Model; CRFTM
Subjects: Current > FOR Classification > 0806 Information Systems
Historical > Faculty/School/Research Centre/Department > Centre for Applied Informatics
SWORD Depositor: Symplectic Elements
Depositing User: Symplectic Elements
Date Deposited: 21 Nov 2019 22:15
Last Modified: 25 Nov 2019 03:11
URI: http://vuir.vu.edu.au/id/eprint/39790
DOI: https://doi.org/10.1007/s10115-018-1314-7
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Citations in Scopus: 4 - View on Scopus

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