Concept Analytics

Concept Analytics aims to understand human thinking by analysing conceptual layering in texts. We develop and apply innovative tools and techniques that combine both the distant reading of texts and corpus linguistic techniques to objectively direct close text analysis. Our ideas embrace Digital Humanities thinking in that the big data exploration works at its best when the dialogue between different views and layers of data is enabled.

We attach primary importance to concepts as units of knowledge cognitively categorised on the basis of their importance in every-day life. Therefore, we consider concepts embedded in language as units that provide a window onto human mind and thinking processes.  

Accessing conceptual information in big textual data requires expertise in both computational models of language as well as understanding of linguistic nuances. In this respect we position our intellectual efforts in making connections between the macro and micro of knowledge.  

We welcome collaborations, conversations, comments. Please contact Justyna Robinson at