
This dataset contains the multilingual version of the User Gold Standard Corpus (UGSC) used in the study “Cross-Lingual Sentiment Classification in Sustainable Mobility: A Zero-Shot Evaluation Framework”.It includes sentence-aligned translations into five languages (English, Spanish, French, German, and Italian) and classification results using a pre-trained XLM-RoBERTa model.The dataset supports reproducible evaluation of multilingual sentiment models and contributes to research in transport-related NLP applications.
Multilingual NLP, Sentiment Analysis, Sustainable Mobility, User-Generated Content, Zero-Shot Learning, Cross-Lingual Evaluation, NLP for Transport
Multilingual NLP, Sentiment Analysis, Sustainable Mobility, User-Generated Content, Zero-Shot Learning, Cross-Lingual Evaluation, NLP for Transport
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
