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Analysing Twitter Data with Text Mining and Social Network Analysis
Zhao, Y.
Twitter, as one of major social media platforms, provides
huge volume of information. A research project
was performed recently in the Analytics Research
Weeks in the Australian Department of Immigration
and Citizenship (DIAC) to analyse Twitter data and
study the feasibility of using them to better understand
and improve DIAC business. It studied the official DIAC Twitter accounts in two ways. First,
DIAC tweets are studied with text mining techniques
to identify topics and their variations over time. And
then, DIAC followers are analysed with social network
analysis to find out how tweets spread over Twitter
network. The methodology and techniques used in
this work are general and can be easily applied to
analysis of other Twitter accounts.
Cite as: Zhao, Y. (2013). Analysing Twitter Data with Text Mining and Social Network Analysis. In Proc. Eleventh Australasian Data Mining Conference (AusDM13) Canberra, Australia. CRPIT, 146. Christen, P., Kennedy, P., Liu, L., Ong, K.L., Stranieri, A. and Zhao, Y. Eds., ACS. 41-47
(from crpit.com)
(local if available)
