In the era of Big Data, Internet became one of the main data sources: data can be collected for relatively low costs and can be used for a wide range of purposes. The target of this paper is to compare three alternative methods of Twitter posts collection. We evaluate three main criteria: the accuracy, the relative reliability and the relative efficiency of each method, using first NUTS level of Great Britain data. One of the three methods stands as being the best (reusable) compromise.

(2019). Looking for Efficient Methods to Collect and Geolocalise Tweets . Retrieved from http://hdl.handle.net/10446/151333

Looking for Efficient Methods to Collect and Geolocalise Tweets

Toninelli, Daniele;Fabris, Silvia
2019-01-01

Abstract

In the era of Big Data, Internet became one of the main data sources: data can be collected for relatively low costs and can be used for a wide range of purposes. The target of this paper is to compare three alternative methods of Twitter posts collection. We evaluate three main criteria: the accuracy, the relative reliability and the relative efficiency of each method, using first NUTS level of Great Britain data. One of the three methods stands as being the best (reusable) compromise.
2019
Schlosser, Stephan; Toninelli, Daniele; Fabris, Silvia
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10446/151333
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