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In terminology work, natural language processing, and digital humanities,several studies address the analysis of variations in context and meaning ofterms in order to detect semantic change and the evolution of terms. Wedistinguish three different approaches to describe contextual variations:methods based on the analysis of patterns and linguistic clues, methodsexploring the latent semantic space of single words, and methods for theanalysis of topic membership. The paper presents the notion of contextvolatility as a new measure for detecting semantic change and applies it to keyterm extraction in a political science case study. The measure quantifies thedynamics of a term's contextual variation within a diachronic corpus toidentify periods of time that are characterised by intense controversialdebates or substantial semantic transformations.

Modeling the dynamics of domain specific terminology in diachronic corpora