| Revista: | Computación y sistemas |
| Base de datos: | |
| Número de sistema: | 000560671 |
| ISSN: | 1405-5546 |
| Autores: | Huerta Velasco, Daniel Abraham1 Calvo, Hiram1 |
| Instituciones: | 1Instituto Politécnico Nacional, Centro de Investigación en Computación, Ciudad de México. México |
| Año: | 2022 |
| Periodo: | Ene-Mar |
| Volumen: | 26 |
| Número: | 1 |
| Paginación: | 261-269 |
| País: | México |
| Idioma: | Inglés |
| Tipo de documento: | Artículo |
| Resumen en inglés | Verbal aggressions are a struggle that a great number of social media users have to face daily. Some users take advantage of the anonymity that social media give them and offend a person, a group of people, or a concept. The majority of proposals which pretend to detect aggressive comments on social media handle it as a classification problem. Although there are a lot of techniques to face this problem in English, there is a lack of proposals in Spanish. In this work, we propose using several Spanish lexicons which have a collection of words that have been weighted according to different criteria like affective, dimensional, and emotional values. In addition to them, structural values, word embeddings and one-hot codification were taken into account. |
| Disciplinas: | Literatura y lingüística, Ciencias de la computación |
| Palabras clave: | Lingüística aplicada, Procesamiento de datos |
| Keyword: | Applied linguistics, Data processing |
| Texto completo: | Texto completo (Ver HTML) Texto completo (Ver PDF) |
