Millions of people use Twitter daily, posting thousands of messages and interacting with
their peers. This research aims to evaluate and classify the predictive potential of the Twitter …

Election prediction using sentiment analysis is a rapidly growing field that utilizes natural
language processing and machine learning techniques to predict the outcome of political …

Natural disasters affect thousands of communities every year, leaving behind human losses,
billions of dollars in rebuilding efforts, and psychological affectation in survivors. How fast a …

Online Social Networks (OSNs) are an integral part of the modern lifestyle, and the use of
OSN is highly prevalent today. OSNs have enabled the generation of unprecedented …

Purpose User profiling with big data raises significant issues regarding privacy. Privacy
studies typically focus on individual privacy; however, in the era of big data analytics, users …

Template Jurnal IJCCS Page 1 IJCCS (Indonesian Journal of Computing and Cybernetics
Systems) Vol.14, No.3, July 2020, pp. 219~230 ISSN (print): 1978-1520, ISSN (online): 2460-7258 …

Twitter as a platform is used for news dissemination, with high volumes of campaigning and
populism. This situation coincides with the growth of audiences who embrace social media …

The complexity of the Internet has significantly increased along with its expansions. In
particular, social networking has resulted in user clusters pertaining to many communities at …

Social hope is a category that has received some attention in recent years, and theoretical
constructs have yet to be developed to measure it. In this sense, one of our goals in this …

User profiling using big data raises critical issues regarding personal data and privacy. Until
recently, privacy studies were focused on the control of personal data; due to big data …