This paper is focused on one aspect of SO- PMI, an unsupervised approach to senti- ment vocabulary acquisition proposed by Turney (Turney and Littman, 2003). The method, originally applied and evaluated for English, is often used in bootstrap- ping sentiment lexicons for European lan- guages where no such resources typically exist. In general, SO-PMI values are com- puted 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 estima- tions. This has been achieved by compar- ing ad hoc random lexeme selection with two alternative heuristics, based on clus- tering and SVD decomposition of a word co-occurrence matrix, demonstrating supe- riority of the...

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