Big Data Analysis on Social Media Messages as Public Discourse

Abstract

We know that expression or opinion through the media is a public discourse. This public discourse is massive along with the development of new media through the internet. With the convenience associated with technological developments, this public opinion has become widespread and has a digital footprint. This phenomenon is now called big data, People comment anything via Twitter, YouTube, Facebook, Instagram, Telegram, WhatsApp.People argue about the ongoing political process or issue. As consumers, they comment on the products they use. Of course, the interests related to social and cultural affiliation cannot be separated from the public's attention. With the ability of artificial intelligence to recognize words, data mining can be done in this case for research purposes in terms of data analysis. Likewise with natural language process, the corpus as a source of data analysis can be defined and described, the taxonomy of words can then be determined. While the 'N-gram model' is used to predict the use of words in a sentence. This paper will discuss the possibility of data analysis to be used in reading the phenomenon of massive messages. That one can relate to public opinion on policy or other political issues. For marketing communications related to opinions about products, production processes or institutional image. Of course, many cultural issues are commented on in public discourse. And this is very interesting because researchers can better understand how the issue is described in public discourse. Because public discourse is basically the use of language to express anything in the public sphere. We try to discuss the possibilities in analyzing the phenomena of this massive message.