Exploring the sentiment of entrepreneurs on Twitter.

Sentiment analysis is an evolving field of study that employs artificial intelligence techniques to identify the emotions and opinions expressed in a given text. Applying sentiment analysis to study the billions of messages that circulate in popular online social media platforms has raised numerous...

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Main Authors:	James Waters, Nicos Nicolaou, Dimosthenis Stefanidis, Hariton Efstathiades, George Pallis, Marios Dikaiakos
Format:	article
Language:	EN
Published:	Public Library of Science (PLoS) 2021
Subjects:	Medicine R Science Q
Online Access:	https://doaj.org/article/37ba8bc79f464973b2710e197e8ecd41
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id	oai:doaj.org-article:37ba8bc79f464973b2710e197e8ecd41
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spelling	oai:doaj.org-article:37ba8bc79f464973b2710e197e8ecd412021-12-02T20:08:52ZExploring the sentiment of entrepreneurs on Twitter.1932-620310.1371/journal.pone.0254337https://doaj.org/article/37ba8bc79f464973b2710e197e8ecd412021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0254337https://doaj.org/toc/1932-6203Sentiment analysis is an evolving field of study that employs artificial intelligence techniques to identify the emotions and opinions expressed in a given text. Applying sentiment analysis to study the billions of messages that circulate in popular online social media platforms has raised numerous opportunities for exploring the emotional expressions of their users. In this paper we combine sentiment analysis with natural language processing and topic analysis techniques and conduct two different studies to examine whether engagement in entrepreneurship is associated with more positive emotions expressed on Twitter. In study 1, we investigate three samples with 6.717.308, 13.253.244, and 62.067.509 tweets respectively. We find that entrepreneurs express more positive emotions than non-entrepreneurs for most topics. We also find that social entrepreneurs express more positive emotions, and that serial entrepreneurs express less positive emotions than other entrepreneurs. In study 2, we use 21.491.962 tweets to explore 37.225 job-status changes by individuals who entered or quit entrepreneurship. We find that a job change to entrepreneurship is associated with a shift in the expression of emotions to more positive ones.James WatersNicos NicolaouDimosthenis StefanidisHariton EfstathiadesGeorge PallisMarios DikaiakosPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 7, p e0254337 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q James Waters Nicos Nicolaou Dimosthenis Stefanidis Hariton Efstathiades George Pallis Marios Dikaiakos Exploring the sentiment of entrepreneurs on Twitter.
description	Sentiment analysis is an evolving field of study that employs artificial intelligence techniques to identify the emotions and opinions expressed in a given text. Applying sentiment analysis to study the billions of messages that circulate in popular online social media platforms has raised numerous opportunities for exploring the emotional expressions of their users. In this paper we combine sentiment analysis with natural language processing and topic analysis techniques and conduct two different studies to examine whether engagement in entrepreneurship is associated with more positive emotions expressed on Twitter. In study 1, we investigate three samples with 6.717.308, 13.253.244, and 62.067.509 tweets respectively. We find that entrepreneurs express more positive emotions than non-entrepreneurs for most topics. We also find that social entrepreneurs express more positive emotions, and that serial entrepreneurs express less positive emotions than other entrepreneurs. In study 2, we use 21.491.962 tweets to explore 37.225 job-status changes by individuals who entered or quit entrepreneurship. We find that a job change to entrepreneurship is associated with a shift in the expression of emotions to more positive ones.
format	article
author	James Waters Nicos Nicolaou Dimosthenis Stefanidis Hariton Efstathiades George Pallis Marios Dikaiakos
author_facet	James Waters Nicos Nicolaou Dimosthenis Stefanidis Hariton Efstathiades George Pallis Marios Dikaiakos
author_sort	James Waters
title	Exploring the sentiment of entrepreneurs on Twitter.
title_short	Exploring the sentiment of entrepreneurs on Twitter.
title_full	Exploring the sentiment of entrepreneurs on Twitter.
title_fullStr	Exploring the sentiment of entrepreneurs on Twitter.
title_full_unstemmed	Exploring the sentiment of entrepreneurs on Twitter.
title_sort	exploring the sentiment of entrepreneurs on twitter.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/37ba8bc79f464973b2710e197e8ecd41
work_keys_str_mv	AT jameswaters exploringthesentimentofentrepreneursontwitter AT nicosnicolaou exploringthesentimentofentrepreneursontwitter AT dimosthenisstefanidis exploringthesentimentofentrepreneursontwitter AT haritonefstathiades exploringthesentimentofentrepreneursontwitter AT georgepallis exploringthesentimentofentrepreneursontwitter AT mariosdikaiakos exploringthesentimentofentrepreneursontwitter
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Exploring the sentiment of entrepreneurs on Twitter.

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