Big Data Analysis on Twitter for 2017 Turkey Referendum: TRefendum

Autor: Serkan Savas
Rok vydání: 2021
Předmět:
Zdroj: 2021 5th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT).
Popis: Social media platforms have taken their place among the most effective communication tools to keep the pulse of society, guide society, and set the agenda. Twitter is one of the leading social media websites that affect the masses. It is used effectively in the field of politics as well as in technology, sports, art, health, entertainment, and many other fields. Both political parties and party leaders use Twitter effectively. It is not possible to analyze the data on this platform, where huge amounts of data are shared per second, with classical methods. Making data-based decisions by analyzing the data here and drawing a roadmap for the future is one of the most important issues for policymakers. Big data techniques, natural language processing techniques, and even machine learning techniques come into play here. In this study, an application to big data analysis on social media data was carried out on the example of Turkey's referendum in 2017, and the potential of studies in this field was exemplified. The results of the study have been promising in order to be able to expand and make more in-depth studies.
Databáze: OpenAIRE