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| Main Authors: | , , , , , , |
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| Format: | Preprint |
| Published: |
2023
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2312.06374 |
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| _version_ | 1866912113804443648 |
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| author | Pereira, Camila Pavan, Matheus Yoon, Sungwon Ramos, Ricelli Costa, Pablo Cavalheiro, Lais Paraboni, Ivandre |
| author_facet | Pereira, Camila Pavan, Matheus Yoon, Sungwon Ramos, Ricelli Costa, Pablo Cavalheiro, Lais Paraboni, Ivandre |
| contents | This work introduces UstanceBR, a multimodal corpus in the Brazilian Portuguese Twitter domain for target-based stance prediction. The corpus comprises 86.8 k labelled stances towards selected target topics, and extensive network information about the users who published these stances on social media. In this article we describe the corpus multimodal data, and a number of usage examples in both in-domain and zero-shot stance prediction based on text- and network-related information, which are intended to provide initial baseline results for future studies in the field. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2312_06374 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | UstanceBR: a social media language resource for stance prediction Pereira, Camila Pavan, Matheus Yoon, Sungwon Ramos, Ricelli Costa, Pablo Cavalheiro, Lais Paraboni, Ivandre Computation and Language This work introduces UstanceBR, a multimodal corpus in the Brazilian Portuguese Twitter domain for target-based stance prediction. The corpus comprises 86.8 k labelled stances towards selected target topics, and extensive network information about the users who published these stances on social media. In this article we describe the corpus multimodal data, and a number of usage examples in both in-domain and zero-shot stance prediction based on text- and network-related information, which are intended to provide initial baseline results for future studies in the field. |
| title | UstanceBR: a social media language resource for stance prediction |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2312.06374 |