This paper is focused on one aspect of SOPMI, an unsupervised approach to sentiment vocabulary acquisition proposed by Turney (Turney and Littman, 2003). The method, originally applied and evaluated for English, is often used in bootstrapping sentiment lexicons for European languages where no such resources typically exist. In general, SO-PMI values are computed from word co-occurrence frequencies in the neighbourhoods of two small sets of paradigm words. The goal of this work is to investigate how lexeme selection affects the quality of obtained sentiment estimations. .
