Sentiment Analysis of the Papuan Movement on Twitter Using Naïve Bayes Algorithm

Abstract

Issue on Papua has long been one of highlighted matters for the Indonesian government. Discussions on such issue have been continuously going on not only in the government level but also in the general public. Social media, in this case Twitter, becomes one of the platforms where people’s expressing their view on this issue. This paper focuses on sentiment analysis to compare three related keywords namely "Papua Merdeka (Free Papua)", "Papua bagian Indonesia (Papua part of Indonesia)", and "Otsus Papua" using Twitter data to determine the classification of tweets accurately, whether positive, negative, or neutral. Sentiment analysis of tweets from Twitter uses the Naïve Bayes Multinomial algorithm. This paper provides an analysis of how the community reacts and their opinions on the data obtained, comparisons of public opinion via Twitter social media from 2018 to 30 September 2021 for consideration, and the extent to which the Indonesian government has tried to maximize development and improve services for the people in the Papua region.