Mining streams of short text for analysis of world-wide event evolutions

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Huang, G, He, Jing, Zhang, Yanchun ORCID: 0000-0002-5094-5980, Zhou, W, Liu, H, Zhang, Peng, Ding, Z, You, Y and Cao, J (2015) Mining streams of short text for analysis of world-wide event evolutions. World Wide Web, 18 (5). 1201 - 1217. ISSN 1386-145X

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Item type Article
URI https://vuir.vu.edu.au/id/eprint/29969
DOI https://doi.org/10.1007/s11280-014-0293-1
Official URL http://link.springer.com/article/10.1007/s11280-01...
Funders http://purl.org/au-research/grants/arc/DE140100387, http://purl.org/au-research/grants/arc/LP100200682, http://purl.org/au-research/grants/arc/DP130101327, http://purl.org/au-research/grants/arc/DE130100911
Subjects Historical > FOR Classification > 0805 Distributed Computing
Historical > FOR Classification > 0806 Information Systems
Current > Division/Research > College of Science and Engineering
Keywords co-occurring term; algorithm; short text; evolution; hot events
Citations in Scopus 15 - View on Scopus
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