MultiBooked: A Corpus of Basque and Catalan Hotel Reviews Annotated for Aspect-level Sentiment Classification
원문 초록
While sentiment analysis has become an established field in the NLP community, research into languages other than English has been hindered by the lack of resources. Although much research in multi-lingual and cross-lingual sentiment analysis has focused on unsupervised or semi-supervised approaches, these still require a large number of resources and do not reach the performance of supervised approaches. With this in mind, we introduce two datasets for supervised aspect-level sentiment analysis in Basque and Catalan, both of which are under-resourced languages. We provide high-quality annotations and benchmarks with the hope that they will be useful to the growing community of researchers working on these languages.
함께 살펴볼 논문
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Thumbs up? Sentiment Classification using Machine Learning Techniques
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Bug Destiny Prediction in Large Open-Source Software Repositories through Sentiment Analysis and BERT Topic Modeling
Breaking BERT: Gradient Attack on Twitter Sentiment Analysis for Targeted Misclassification
ELECTRA and GPT-4o: Cost-Effective Partners for Sentiment Analysis
토론
이 논문과 연결된 포럼 글이 아직 없습니다.