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How can semantic annotation help us to analyse the discourse of climate change in online user comments?

Collins, Luke C.

Authors

Luke C. Collins luke.collins@nottingham.ac.uk



Abstract

User comments in response to newspaper articles published online offer a unique resource for studying online discourse. The number of comments that articles often elicit poses many methodological challenges and analyses of online user comments have inevitably been cursory when limited to a manual content or thematic analysis. Corpus analysis tools can systematically identify features such as keywords in large datasets. This article reports on the semantic annotation feature of the corpus analysis tool Wmatrix which also allows us to identify key semantic domains. Building on this feature, I introduce a novel method of sampling key comments through an examination of user comment threads taken from The Guardian website on the topic of climate change.

Journal Article Type Article
Publication Date Mar 3, 2015
Journal Linguistik Online
Electronic ISSN 1615-3014
Publisher Bern Open Publishing
Peer Reviewed Peer Reviewed
Volume 70
Issue 1
APA6 Citation Collins, L. C. (2015). How can semantic annotation help us to analyse the discourse of climate change in online user comments?. Linguistik Online, 70(1), https://doi.org/10.13092/lo.70.1743
DOI https://doi.org/10.13092/lo.70.1743
Publisher URL https://bop.unibe.ch/linguistik-online/article/view/1743/2957
Copyright Statement Copyright information regarding this work can be found at the following address: http://creativecommons.org/licenses/by/4.0

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Copyright Statement
Copyright information regarding this work can be found at the following address: http://creativecommons.org/licenses/by/4.0





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