A Text Mining Analysis on Big Data Extracted from Social Media

Gabriella Schoier,Pietro Tossut,Giuseppe Borruso

doi:10.1007/978-3-030-58811-3_25

A Text Mining Analysis on Big Data Extracted from Social Media

Gabriella Schoier, Pietro Tossut + Show 1 more

https://doi.org/10.1007/978-3-030-58811-3_25

Copy DOI

Publication Date: Jan 1, 2020

Affiliation: University of Trieste

#Text Mining Analysis #Social Media + Show 8 more

Abstract
Full-Text PDF
Similar Papers

Abstract

The aim of this paper is to analyze data derived from Social Media. In our time people and devices constantly generate data. The network is generating location and other data that keeps services running and ready to use in every moment. This rapid development in the availability and access to data has induced the need for better analysis techniques to understand the various phenomena. We consider a Text Mining and a Sentiment Analysis of data extracted from Social Networks. The application regards a Text Mining Analysis and a Sentiment Analysis on Twitter, in particular on tweets regarding Coronavirus and SARS.

Full Text