FIELD: data processing.
SUBSTANCE: invention relates to means for thematic modelling with a priori tone parameters based on distributed representations. Text document is inserted into a thematic model and a presentation for each word in the text document is determined by the thematic model, wherein the representations are word vectors in the semantic space. Assessing presentations using a priori tone parameters to determine a theme corresponding to said text document, wherein the topic model comprises a priori tonality parameters, trained based on representations distributed using a regularizer, which sets the same tonality to words having similar word vectors, and wherein each a priori tonality parameter is the same for words having similar word vectors.
EFFECT: technical result consists in detecting a greater number of aspect-oriented tonal words and further improved classification.
8 cl, 5 dwg, 9 tbl
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