Cryptocurrency analysis based on user-generated social media content
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10071/22088 |
Resumo: | Bitcoin is a cryptocurrency that has started to become interesting in 2017 as a result of the massive hype the cryptocurrency has created around the world, claiming to be the first fully digital coin based on blockchain technology. There are people reacting and commenting everyday about Bitcoin on social networks and online forums. The known social networks that drive significant opinions related with Bitcoin are Twitter and Reddit. It can be said that Bitcoin may attribute much of its growth to the Reddit social forum. This research is dedicated to the study of the application of Sentiment Analysis to the Reddit users’ comments on daily discussion publications from Bitcoin - Reddit community with the goal to find a correlation between these results and Bitcoin’s known indicators. The study aims to analyze the sentiment of the Bitcoin discussion threads, having two main research questions: 1. Do users’ comments of the daily discussion posts have a correlation with the daily indicators of Bitcoin? 2. Do users’ comments of the daily discussion posts have a correlation when the indicators information of Bitcoin are shifted by a few days? The research has permitted to analyze the correlations between the different indicators. |
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Cryptocurrency analysis based on user-generated social media contentRedditBitcoinSentiment analysisCryptocurrencyCorrelation analysisAnálise de sentimentoCriptomoedasCorrelaçãoBitcoin is a cryptocurrency that has started to become interesting in 2017 as a result of the massive hype the cryptocurrency has created around the world, claiming to be the first fully digital coin based on blockchain technology. There are people reacting and commenting everyday about Bitcoin on social networks and online forums. The known social networks that drive significant opinions related with Bitcoin are Twitter and Reddit. It can be said that Bitcoin may attribute much of its growth to the Reddit social forum. This research is dedicated to the study of the application of Sentiment Analysis to the Reddit users’ comments on daily discussion publications from Bitcoin - Reddit community with the goal to find a correlation between these results and Bitcoin’s known indicators. The study aims to analyze the sentiment of the Bitcoin discussion threads, having two main research questions: 1. Do users’ comments of the daily discussion posts have a correlation with the daily indicators of Bitcoin? 2. Do users’ comments of the daily discussion posts have a correlation when the indicators information of Bitcoin are shifted by a few days? The research has permitted to analyze the correlations between the different indicators.A Bitcoin é uma criptomoeda que começou a tornar-se interessante em 2017 através do entusiasmo que criou pelo mundo, afirmando ser a primeira criptomoeda totalmente digital e baseada na tecnologia de Blockchain. Existem pessoas que reagem e comentam diariamente sobre a Bitcoin em redes sociais e fóruns online. As redes sociais que mais impulsionam opiniões relacionadas com a Bitcoin são o Twitter e o Reddit. Podemos afirmar que a Bitcoin pode atribuir grande parte do seu crescimento através da rede social Reddit. A investigação efetuada no contexto desta tese é dedicada ao estudo da aplicação de uma análise de sentimento aos comentários dos utilizadores do Reddit contidos nas publicações de discussão diária da comunidade Bitcoin, com o objetivo de encontrar uma correlação entre os resultados obtidos e os indicadores conhecidos da Bitcoin. O estudo visa analisar o sentimento associado aos tópicos de discussão da comunidade Bitcoin, tendo duas principais questões de investigação: 1. Os comentários dos utilizadores das publicações de discussão diária têm uma correlação com os indicadores diários da Bitcoin? 2. Os comentários dos utilizadores das publicações de discussão diária têm uma correlação com os indicadores de Bitcoin se forem deslocados por alguns dias? A investigação permitiu analisar as correlações entre os diferentes indicadores.2022-12-30T00:00:00Z2020-12-30T00:00:00Z2020-12-302020-10info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10071/22088TID:202627667engNarciso, Miguel de Guerrainfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-09T17:46:14Zoai:repositorio.iscte-iul.pt:10071/22088Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:22:12.642494Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Cryptocurrency analysis based on user-generated social media content |
title |
Cryptocurrency analysis based on user-generated social media content |
spellingShingle |
Cryptocurrency analysis based on user-generated social media content Narciso, Miguel de Guerra Bitcoin Sentiment analysis Cryptocurrency Correlation analysis Análise de sentimento Criptomoedas Correlação |
title_short |
Cryptocurrency analysis based on user-generated social media content |
title_full |
Cryptocurrency analysis based on user-generated social media content |
title_fullStr |
Cryptocurrency analysis based on user-generated social media content |
title_full_unstemmed |
Cryptocurrency analysis based on user-generated social media content |
title_sort |
Cryptocurrency analysis based on user-generated social media content |
author |
Narciso, Miguel de Guerra |
author_facet |
Narciso, Miguel de Guerra |
author_role |
author |
dc.contributor.author.fl_str_mv |
Narciso, Miguel de Guerra |
dc.subject.por.fl_str_mv |
Reddit Bitcoin Sentiment analysis Cryptocurrency Correlation analysis Análise de sentimento Criptomoedas Correlação |
topic |
Reddit Bitcoin Sentiment analysis Cryptocurrency Correlation analysis Análise de sentimento Criptomoedas Correlação |
description |
Bitcoin is a cryptocurrency that has started to become interesting in 2017 as a result of the massive hype the cryptocurrency has created around the world, claiming to be the first fully digital coin based on blockchain technology. There are people reacting and commenting everyday about Bitcoin on social networks and online forums. The known social networks that drive significant opinions related with Bitcoin are Twitter and Reddit. It can be said that Bitcoin may attribute much of its growth to the Reddit social forum. This research is dedicated to the study of the application of Sentiment Analysis to the Reddit users’ comments on daily discussion publications from Bitcoin - Reddit community with the goal to find a correlation between these results and Bitcoin’s known indicators. The study aims to analyze the sentiment of the Bitcoin discussion threads, having two main research questions: 1. Do users’ comments of the daily discussion posts have a correlation with the daily indicators of Bitcoin? 2. Do users’ comments of the daily discussion posts have a correlation when the indicators information of Bitcoin are shifted by a few days? The research has permitted to analyze the correlations between the different indicators. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-12-30T00:00:00Z 2020-12-30 2020-10 2022-12-30T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10071/22088 TID:202627667 |
url |
http://hdl.handle.net/10071/22088 |
identifier_str_mv |
TID:202627667 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
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openAccess |
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application/pdf |
dc.source.none.fl_str_mv |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799134783477907456 |