How Can Semantic Annotation Help Us to Analyse the Discourse of Climate Change in Online User Comments? | Zendy

Luke Collins | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

How Can Semantic Annotation Help Us to Analyse the Discourse of Climate Change in Online User Comments?

Author(s) -

Luke Collins

Publication year - 2011

Publication title -

linguistik online

Language(s) - English

Resource type - Journals

ISSN - 1615-3014

DOI - 10.13092/lo.70.1743

Subject(s) - computer science , newspaper , annotation , key (lock) , feature (linguistics) , information retrieval , resource (disambiguation) , semantic annotation , guardian , semantic analysis (machine learning) , data science , world wide web , artificial intelligence , linguistics , advertising , computer network , philosophy , computer security , political science , law , business

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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research