| Journal: | Computación y sistemas |
| Database: | |
| System number: | 000560500 |
| ISSN: | 1405-5546 |
| Authors: | Bernabe Loranca, M. Beatriz1 Espinoza, Enrique1 González Velázquez, Rogelio1 Cerón Garnica, Carmen1 |
| Institutions: | 1Benemérita Universidad Autónoma de Puebla, Facultad de Ciencias de la Computación, Puebla. México |
| Year: | 2020 |
| Season: | Abr-Jun |
| Volumen: | 24 |
| Number: | 2 |
| Pages: | 719-724 |
| Country: | México |
| Language: | Inglés |
| Document type: | Artículo |
| English abstract | 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. |
| Disciplines: | Ciencias de la computación |
| Keyword: | Inteligencia artificial |
| Keyword: | Dictionary, Twitter, NLP, Python, Artificial intelligence |
| Full text: | Texto completo (Ver HTML) Texto completo (Ver PDF) |
