Incorporating word embeddings into topic modeling of short text

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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
URI https://vuir.vu.edu.au/id/eprint/39790
DOI https://doi.org/10.1007/s10115-018-1314-7
Official URL https://link.springer.com/article/10.1007%2Fs10115...
Subjects Current > 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 10 - View on Scopus
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