Zero-shot Sentiment Classification
3 papers with code • 1 benchmarks • 1 datasets
AfriSenti
Most implemented papers
Open Vocabulary Electroencephalography-To-Text Decoding and Zero-shot Sentiment Classification
State-of-the-art brain-to-text systems have achieved great success in decoding language directly from brain signals using neural networks.
HausaNLP at SemEval-2023 Task 12: Leveraging African Low Resource TweetData for Sentiment Analysis
ahmadmwali/semeval-afrisenti
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We present the findings of SemEval-2023 Task 12, a shared task on sentiment analysis for low-resource African languages using Twitter dataset.
UCAS-IIE-NLP at SemEval-2023 Task 12: Enhancing Generalization of Multilingual BERT for Low-resource Sentiment Analysis
zerohd4869/sacl
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To alleviate these, we propose a generalized multilingual system SACL-XLMR for sentiment analysis on low-resource languages.
