Online News Analysis of Majene Public Figure Electability with NLP (Natural Language Processing)

Abstract

Electability is one of the concerns as public figures who will take part in the elections, various things are done to improve their electability. Now, there are many methods to measure electability, one of which is the Natural Language Processing method. In this study, an electability analysis of public figures was conducted on online news to determine the electability level of a public figure. Where information obtained by the public is through online news sites. According to the Indonesian Internet Service Providers Data (APJII) in 2014, internet users in Indonesia will reach 107 million. This number has become one of the potential Public Figures, both institutionally and individually in capturing their masses through new media. 100 million of the masses will be contested by candidates who will compete in the political stage. Therefore, candidates who will advance will carry out digital political imaging. The public figures used in this study are 12 figures who are rumored to be going forward in the 2020 elections based on the online news site MAJENE 2020 ELECTION.