Evaluating latent content within unstructured text: an analytical methodology based on a temporal network of associated topics

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Camilleri, Edwin ORCID: 0000-0003-0163-944X and Miah, Shah Jahan ORCID: 0000-0002-3783-8769 (2021) Evaluating latent content within unstructured text: an analytical methodology based on a temporal network of associated topics. Journal of Big Data, 8. ISSN 2196-1115

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Item type Article
URI https://vuir.vu.edu.au/id/eprint/45198
DOI 10.1186/s40537-021-00511-0
Official URL https://journalofbigdata.springeropen.com/articles...
Subjects Current > FOR (2020) Classification > 4602 Artificial intelligence
Current > Division/Research > Institute for Sustainable Industries and Liveable Cities
Keywords natural language processing; topic modelling; network theory; text mining
Citations in Scopus 0 - View on Scopus
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