Methodological proposal to identify the nationality of Twitter users through random-forests.

ABSTRACT: We disclose a methodology to determine the participants in discussions and their contributions in social networks with a local relationship (e.g., nationality), providing certain levels of trust and efficiency in the process. The dynamic is a challenge that has demanded studies and some approximations to recent solutions. The study addressed the problem of identifying the nationality of users in the Twitter social network before an opinion request (of a political nature and social participation). The employed methodology classifies, via machine learning, the Twitter users' nationality to carry out opinion studies in three Central American countries. The Random Forests algorithm is used to generate classification models with small training samples, using exclusively numerical characteristic

SUBMITTER: Quijano D 

PROVIDER: S-EPMC9888676 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature