| Revista: | Computación y sistemas |
| Base de datos: | |
| Número de sistema: | 000560500 |
| ISSN: | 1405-5546 |
| Autores: | Bernabe Loranca, M. Beatriz1 Espinoza, Enrique1 González Velázquez, Rogelio1 Cerón Garnica, Carmen1 |
| Instituciones: | 1Benemérita Universidad Autónoma de Puebla, Facultad de Ciencias de la Computación, Puebla. México |
| Año: | 2020 |
| Periodo: | Abr-Jun |
| Volumen: | 24 |
| Número: | 2 |
| Paginación: | 719-724 |
| País: | México |
| Idioma: | Inglés |
| Tipo de documento: | Artículo |
| Resumen en inglés | In this work we developed a tool for the classification of natural language in the social network Twitter: The main purpose is to divide into two classes, the opinions that the users express about the political moment of the Mexican presidential elections in 2018. In this scenario, considering the information from the Tweets as corpus, these have been randomly downloaded from different users and with the tagging algorithm, it has been possible to identify the comments into two categories defined as praises and insults, which are directed towards the presidential candidates. The tool known as CLiPS from Python, has been used for such purpose with the inclusion of the tagging algorithm Finally, the frequency of the terms is analyzed with descriptive statistics. |
| Disciplinas: | Ciencias de la computación |
| Palabras clave: | Inteligencia artificial |
| Keyword: | Dictionary, Twitter, NLP, Python, Artificial intelligence |
| Texto completo: | Texto completo (Ver HTML) Texto completo (Ver PDF) |
