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Topic modeling is a method of automated definition of subtopics in a text corpus. Usage of topic modeling for short texts, e.g. tweets, is highly complicated due to their short length and grammatical restructuring, including broken word order, abbreviations, and contamination of different languages. In this paper, the authors use the BTM topic modelling algorithm (previously found to work best in comparison with two other topic models measured by automated coherence metrics Umass and NPMI) to test three topic qual...