Twifly: A Data Analysis Framework For Twitter

Panagiotis Chatziadam,Aftantil Dimitriadis,Stefanos Gikas,Ilias Logothetis, Manolis Michalodimitrakis, Manolis Neratzoulakis,Alexandros Papadakis,Vasileios Kontoulis, Nikolaos Siganos,Dimitrios Theodoropoulos, Giannis Vougioukalos,Ilias Hatzakis, George Gerakis,Nikolaos Papadakis,Haridimos Kondylakis

INFORMATION(2020)

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摘要
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.
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关键词
Twitter, political analysis, data analysis
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