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MultiEmo: Language-Agnostic Sentiment Analysis

COMPUTATIONAL SCIENCE, ICCS 2022, PT II(2022)

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Abstract
We developed and validated a language-agnostic method for sentiment analysis. Cross-language experiments carried out on the new MultiEmo dataset with texts in 11 languages proved that LaBSE embeddings with an additional attention layer implemented in the BiLSTM architecture outperformed other methods in most cases.
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Key words
Cross-language NLP,Sentiment analysis,Language-agnostic representation,LASER,LaBSE,BiLSTM,Opinion mining,MultiEmo
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