Opinion Mining in Facebook Regional Discussion Groups
Leonardo Augusto Sápiras, Rodrigo Antônio Weber · 2019
This paper presents the results a case study that apply opinion mining about health, security and education, using as source discussions in Facebook regional groups. The method used is quite different from other researches because it propose an approach to identify regional posts. Five different supervisioned learning algorithms was applied during the classification step. The results show that region's posts can be identified with this new approach.