Topic modeling is an umbrella term used to denote a host of semi-automated or fully automated corpus linguistic methods that aim to map the content of texts by identifying dominant themes. When driven by an algorithm that is trained in either a supervised or unsupervised manner on a dataset, the method makes it possible to…
Data collection is the base for any empirical study and corpus analysis is a well-established method used within critical discourse studies. Jędrzej Olejniczak in his blogpost wrote about data collection, management and processing in CORECON. Here I explain the motivations behind methodological choices and our rationales in data collection and data annotation protocols used when…
During the FORTHEM meeting at the University of Opole in November 2024, several academics were invited to share good practices and experiences of international cooperation with Ukrainian scholars participating in the project “Supporting cooperation between the University of Opole and Ukrainian universities within the framework of the FORTHEM Alliance” of the NAWA organization. (Details of…