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Open AccessArticle

TwiFly: A Data Analysis Framework for Twitter

1
Department of Electrical and Computer Engineering, Hellenic Mediterranean University, GR70013 Heraklion, Greece
2
Department of Agriculture, Hellenic Mediterranean University, GR70013 Heraklion, Greece
3
FORTH-ICS, GR70013 Heraklion, Greece
*
Author to whom correspondence should be addressed.
Information 2020, 11(5), 247; https://doi.org/10.3390/info11050247
Received: 7 April 2020 / Revised: 26 April 2020 / Accepted: 28 April 2020 / Published: 2 May 2020
(This article belongs to the Special Issue 10th Anniversary of Information—Emerging Research Challenges)
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. View Full-Text
Keywords: Twitter; political analysis; data analysis Twitter; political analysis; data analysis
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Chatziadam, P.; Dimitriadis, A.; Gikas, S.; Logothetis, I.; Michalodimitrakis, M.; Neratzoulakis, M.; Papadakis, A.; Kontoulis, V.; Siganos, N.; Theodoropoulos, D.; Vougioukalos, G.; Hatzakis, I.; Gerakis, G.; Papadakis, N.; Kondylakis, H. TwiFly: A Data Analysis Framework for Twitter. Information 2020, 11, 247.

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