Identification of author profiles through social networks
The aim of this paper is to compile dictionaries of slang words, abbreviations, contractions, and emoticons to help the pre-processing of texts published in social networks. The use of these dictionaries is intended to improve the results of the tasks related to data obtained from these platforms. T...
| Autores: | , , , , , |
|---|---|
| Formato: | artículo |
| Estado: | Versión aceptada para publicación |
| Fecha de publicación: | 2021 |
| País: | Colombia |
| Recursos: | Corporación Universidad de la Costa |
| Repositorio: | Repositorio REDICUC |
| Idioma: | inglés |
| OAI Identifier: | oai:repositorio.cuc.edu.co:11323/7706 |
| Acesso em linha: | https://hdl.handle.net/11323/7706 https://doi.org/10.1007/978-981-15-7234-0_84 https://repositorio.cuc.edu.co/ |
| Access Level: | acceso abierto |
| Palavra-chave: | Lexicon Social networks Author profiling Text classification |
| Resumo: | The aim of this paper is to compile dictionaries of slang words, abbreviations, contractions, and emoticons to help the pre-processing of texts published in social networks. The use of these dictionaries is intended to improve the results of the tasks related to data obtained from these platforms. Therefore, a hypothesis was evaluated in the task of identifying author profiles (author profiling). |
|---|