We describe contemporary language transliteration influence on automatized sentiment analysis. We state that the text normalization helps to achieve better results in automatized sentiment analysis and provide results to support the claim. Data used for the experiments are gathered via project Virtual Aggression Barometer. We use a normalization tool and an automatized classifier for the internet user comments with aggressive and non-aggressive sentiment.
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