Semi-supervised learning approaches for predicting South African political sentiment for local government elections. (arXiv:2205.02223v1 [cs.CL])

Web: http://arxiv.org/abs/2205.02223

This study aims to understand the South African political context by
analysing the sentiments shared on Twitter during the local government
elections. An emphasis on the analysis was placed on understanding the
discussions led around four predominant political parties ANC, DA, EFF and
ActionSA. A semi-supervised approach by means of a graph-based technique to
label the vast accessible Twitter data for the classification of tweets into
negative and positive sentiment was used. The tweets expressing negative
sentiment were further analysed …

arxiv elections government learning semi-supervised semi-supervised learning supervised learning