title: SHIFTRY: WEB SERVICE FOR DIACHRONIC ANALYSIS OF RUSSIAN NEWS
abstract: We present the ShiftRy web service. It helps to analyze temporal changes in the usage of words in news texts from Russian mass media. For that, we employ diachronic word embedding models trained on large Russian news corpora from 2010 up to 2019. The users can explore the usage history of any given query word, or browse the lists of words ranked by the degree of their semantic drift in any couple of years. Visualizations of the words’ trajectories through time are provided. Importantly, users ca
journal: Kompʹûternaâ lingvistika i intellektualʹnye tehnologii