Comparison of Sentiment Classifiers on Slovak Datasets: Original versus Machine Translated

2023 21st International Conference on Emerging eLearning Technologies and Applications (ICETA)(2023)

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摘要
In this article, we focus on the comparison of classifiers on datasets in the Slovak language. In order to compare the effectiveness of the classifiers, we used two groups of data: the first group was obtained from the Internet and translated into the Slovak language, while the second group was originally in the Slovak language. Our goal was to find out how the translation of datasets affects the performance of classifiers and to identify the most suitable models for the Slovak language.
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关键词
classifiers,comparison,dataset,machine translation,sentiment,Slovak language
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