Extracting Information from Social Media to Track Financial Markets

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dc.contributor.advisor Barro, Diana it_IT
dc.contributor.author Guidi, Mirco <1992> it_IT
dc.date.accessioned 2017-02-23 it_IT
dc.date.accessioned 2017-05-08T03:49:16Z
dc.date.available 2017-05-08T03:49:16Z
dc.date.issued 2017-03-20 it_IT
dc.identifier.uri http://hdl.handle.net/10579/9829
dc.description.abstract Information Extraction from social media is still an emerging domain but has drawn a lot of attention recently. This research wants to investigate at what extent it is possible to use data collected from social media to track and understand financial markets’ trends. After a first theoretical section, this paper will present and discuss two analysis. The first one investigates whether the mood that emerges from Twitter messages about some of the most important companies in the world is correlated with some stock indicators about these companies. The second one focuses on whether the volume of search queries on Google about specific financial terms is correlated with the performances of some financial indexes of the market (S&P 500, FTSE 100). it_IT
dc.language.iso it_IT
dc.publisher Università Ca' Foscari Venezia it_IT
dc.rights © Mirco Guidi, 2017 it_IT
dc.title Extracting Information from Social Media to Track Financial Markets it_IT
dc.title.alternative it_IT
dc.type Bachelor Thesis it_IT
dc.degree.name Amministrazione, finanza e controllo it_IT
dc.degree.level Laurea magistrale it_IT
dc.degree.grantor Dipartimento di Management it_IT
dc.description.academicyear 2015/2016, sessione straordinaria it_IT
dc.rights.accessrights openAccess it_IT
dc.thesis.matricno 854793 it_IT
dc.subject.miur it_IT
dc.description.note it_IT
dc.degree.discipline it_IT
dc.contributor.co-advisor it_IT
dc.date.embargoend it_IT
dc.provenance.upload Mirco Guidi (854793@stud.unive.it), 2017-02-23 it_IT
dc.provenance.plagiarycheck Diana Barro (d.barro@unive.it), 2017-03-06 it_IT

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