Cyclostationary Signal Modeling Enhances Multilingual BERT Sentiment Analysis Accuracy
Modeling text embeddings as cyclostationary sequences improves BERT-based multilingual sentiment analysis accuracy by up to 28% across five diverse datasets.
Tag: multilingual sentiment analysis
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