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- W2972369013 abstract "The paper presents a generic approach to the supervised sentiment analysis of social media content in Slavic languages. The method proposes translating the documents from the original language to English with Google’s Neural Translation Model. The resulted texts are then converted to vectors by averaging the vectorial representation of words derived from a pre-trained Word2Vec English model. Testing the approach with several machine learning methods on Polish, Slovenian and Croatian Twitter datasets returns up to 86% of classification accuracy on the out-of-sample data." @default.
- W2972369013 created "2019-09-19" @default.
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- W2972369013 date "2019-01-01" @default.
- W2972369013 modified "2023-10-03" @default.
- W2972369013 title "Sentiment Analysis for Multilingual Corpora" @default.
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- W2972369013 doi "https://doi.org/10.18653/v1/w19-3717" @default.
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