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TwiFly: A Data Analysis Framework for Twitter.

Authors :
Chatziadam, Panagiotis
Dimitriadis, Aftantil
Gikas, Stefanos
Logothetis, Ilias
Michalodimitrakis, Manolis
Neratzoulakis, Manolis
Papadakis, Alexandros
Kontoulis, Vasileios
Siganos, Nikolaos
Theodoropoulos, Dimitrios
Vougioukalos, Giannis
Hatzakis, Ilias
Gerakis, George
Papadakis, Nikolaos
Kondylakis, Haridimos
Source :
Information (2078-2489); May2020, Vol. 11 Issue 5, p247, 1p
Publication Year :
2020

Abstract

Over the last decade, there have been many changes in the field of political analysis at a global level. Through social networking platforms, millions of people have the opportunity to express their opinion and capture their thoughts at any time, leaving their digital footprint. As such, massive datasets are now available, which can be used by analysts to gain useful insights on the current political climate and identify political tendencies. In this paper, we present TwiFly, a framework built for analyzing Twitter data. TwiFly accepts a number of accounts to be monitored for a specific time-frame and visualizes in real time useful extracted information. As a proof of concept, we present the application of our platform to the most recent elections of Greece, gaining useful insights on the election results. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20782489
Volume :
11
Issue :
5
Database :
Complementary Index
Journal :
Information (2078-2489)
Publication Type :
Academic Journal
Accession number :
143674542
Full Text :
https://doi.org/10.3390/info11050247