In this paper, we propose a system for extracting, storing, and analyzing the data provided by three well-known and widespread services available online. More specifically, the system can automatically collect a real-world dataset for a selected language and/or geographical region and match similar trends expressed through different keywords. Unlike previous studies in the same area, we avoided to focus on a specific aspect and explored which resonance different topics may have between one source and another, and how quickly each source generally reacts to external events.

Conti, G., Sansonetti, G., Micarelli, A. (2020). An Analysis of Trends and Connections in Google, Twitter, and Wikipedia. In Communications in Computer and Information Science (pp.154-160). Springer [10.1007/978-3-030-50732-9_21].

An Analysis of Trends and Connections in Google, Twitter, and Wikipedia

Sansonetti G.
;
Micarelli A.
2020-01-01

Abstract

In this paper, we propose a system for extracting, storing, and analyzing the data provided by three well-known and widespread services available online. More specifically, the system can automatically collect a real-world dataset for a selected language and/or geographical region and match similar trends expressed through different keywords. Unlike previous studies in the same area, we avoided to focus on a specific aspect and explored which resonance different topics may have between one source and another, and how quickly each source generally reacts to external events.
978-3-030-50731-2
Conti, G., Sansonetti, G., Micarelli, A. (2020). An Analysis of Trends and Connections in Google, Twitter, and Wikipedia. In Communications in Computer and Information Science (pp.154-160). Springer [10.1007/978-3-030-50732-9_21].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11590/373586
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