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http://infotec.repositorioinstitucional.mx/jspui/handle/1027/530| Profiling Hate Speech Spreaders on Twitter through Emotion-based Representations Notebook for PAN at CLEF 2021 | |
| JESUS HIRAM CABRERA PINEDA SABINO MIRANDA JIMENEZ | |
| Acceso Abierto | |
| Atribución-NoComercial-CompartirIgual | |
| http://ceur-ws.org/Vol-2936/paper-159.pdf | |
| Medios sociales Redes de computadoras -- Aspectos sociales Partido Acción Nacional (México) | |
| Nowadays, social media is perhaps one of the most powerful channels of communication among people worldwide. Despite the physical constraints, people in a social network communicate efficiently and instantaneously without restriction. While this can promote the interchange of ideas and information, in this scenario, people with a dangerou idiosyncrasy can achieve more people with low restrictions. Automatic hate speech identification in social networks is a Natural Language Processing task dedicated to pointing out users that have this kind of misconduct among its publication’s content. In this work, we tackled the PAN21 Hate Speech identification task through Semantic Emotion-based models in both Spanish and English languages. We implement several approaches, one of them is designed to output explainable results based on the user’s emotional charge. | |
| INFOTEC Centro de Investigación e Innovación en Tecnologías de la Información y Comunicación | |
| 24-09-2021 | |
| Artículo | |
| Cabrera, Hiram ; Miranda Jiménez, Sabino ; S. Téllez, Erick. (2021). Profiling Hate Speech Spreaders on Twitter through Emotion-based Representations Notebook for PAN at CLEF 2021. INFOTEC. http://ceur-ws.org/Vol-2936/paper-159.pdf | |
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| OTRAS | |
| Versión publicada | |
| publishedVersion - Versión publicada | |
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| Profiling Hate Speech Spreaders on Twitter through Emotion-based Representations Notebook for PAN at CLEF 2021.pdf | 591.17 kB | Adobe PDF | Visualizar/Abrir |