Sentiment analysis: the case of twitch chat - Mining user feedback from livestream chats

Detalhes bibliográficos
Autor(a) principal: Reis, Jaime Mendes Gouveia Batalha
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/10362/95285
Resumo: Project Work presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Information Systems and Technologies Management
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spelling Sentiment analysis: the case of twitch chat - Mining user feedback from livestream chatsSentiment AnalysisOpinion MiningLivestreamsTwitchText MiningProject Work presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Information Systems and Technologies ManagementIn a world where users often share their thoughts and opinions through online communication channels, applications that can tap into these channels as to extract consumer feedback have become increasingly valuable. Traditional marketing research techniques such as interviews or surveys offer results that pale in comparison to sentiment analysis applications that can extract organic feedback from an extremely large selection, with very little resources and in real-time. This thesis focuses on proposing and developing one of these tools that targets livestreams, which have, over the years, seen a massive increase in popularity from both a user-base standpoint as well as brand involvement. We chose the livestreaming platform “Twitch” as the target of research and developed a sentiment analysis model, using rule-based approaches, capable of interpreting user chat messages and identifying whether those messages are negative, positive or neutral. Additionally, an application was developed to better view and analyze the results of the model. By segmenting our results by product reveal, we also exhibit how the application allows for the extraction of various insights about the public’s opinion of that product.Henriques, Roberto André PereiraPopovič, AlešRUNReis, Jaime Mendes Gouveia Batalha2020-03-30T13:44:03Z2020-03-052020-03-05T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/95285TID:202468542enginfo: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:RCAAP2024-03-11T04:43:14Zoai:run.unl.pt:10362/95285Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:38:15.869437Repositório 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 Sentiment analysis: the case of twitch chat - Mining user feedback from livestream chats
title Sentiment analysis: the case of twitch chat - Mining user feedback from livestream chats
spellingShingle Sentiment analysis: the case of twitch chat - Mining user feedback from livestream chats
Reis, Jaime Mendes Gouveia Batalha
Sentiment Analysis
Opinion Mining
Livestreams
Twitch
Text Mining
title_short Sentiment analysis: the case of twitch chat - Mining user feedback from livestream chats
title_full Sentiment analysis: the case of twitch chat - Mining user feedback from livestream chats
title_fullStr Sentiment analysis: the case of twitch chat - Mining user feedback from livestream chats
title_full_unstemmed Sentiment analysis: the case of twitch chat - Mining user feedback from livestream chats
title_sort Sentiment analysis: the case of twitch chat - Mining user feedback from livestream chats
author Reis, Jaime Mendes Gouveia Batalha
author_facet Reis, Jaime Mendes Gouveia Batalha
author_role author
dc.contributor.none.fl_str_mv Henriques, Roberto André Pereira
Popovič, Aleš
RUN
dc.contributor.author.fl_str_mv Reis, Jaime Mendes Gouveia Batalha
dc.subject.por.fl_str_mv Sentiment Analysis
Opinion Mining
Livestreams
Twitch
Text Mining
topic Sentiment Analysis
Opinion Mining
Livestreams
Twitch
Text Mining
description Project Work presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Information Systems and Technologies Management
publishDate 2020
dc.date.none.fl_str_mv 2020-03-30T13:44:03Z
2020-03-05
2020-03-05T00:00:00Z
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/10362/95285
TID:202468542
url http://hdl.handle.net/10362/95285
identifier_str_mv TID:202468542
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
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