Sentimental Analysis of Soccer Games Messages from Social Networks using User’s Profiles
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | INFOCOMP: Jornal de Ciência da Computação |
Texto Completo: | https://infocomp.dcc.ufla.br/index.php/infocomp/article/view/842 |
Resumo: | The people express their sentiments thought the Social Networks, and these sentiments can be measured to offer knowledge about tendencies and influences on Internet. In many scenarios, as in sport games, is important have the insight about what the people are thinking regarding a given player or product. This paper presents a metric based on phrase-level, in which is shown the importance of considering users´ characteristics, such as gender in sport scenario is shown. The calculation made from the word dictionary is adjusted by applying a correction factor based on the user´s profile characteristics. The results showed that considering the user's profile characteristics in the sentiment metric improves the sentiment analysis performance. |
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INFOCOMP: Jornal de Ciência da Computação |
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Sentimental Analysis of Soccer Games Messages from Social Networks using User’s Profiles The people express their sentiments thought the Social Networks, and these sentiments can be measured to offer knowledge about tendencies and influences on Internet. In many scenarios, as in sport games, is important have the insight about what the people are thinking regarding a given player or product. This paper presents a metric based on phrase-level, in which is shown the importance of considering users´ characteristics, such as gender in sport scenario is shown. The calculation made from the word dictionary is adjusted by applying a correction factor based on the user´s profile characteristics. The results showed that considering the user's profile characteristics in the sentiment metric improves the sentiment analysis performance.Editora da UFLA2020-06-18info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://infocomp.dcc.ufla.br/index.php/infocomp/article/view/842INFOCOMP Journal of Computer Science; Vol. 19 No. 1 (2020): June 20201982-33631807-4545reponame:INFOCOMP: Jornal de Ciência da Computaçãoinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAenghttps://infocomp.dcc.ufla.br/index.php/infocomp/article/view/842/525Copyright (c) 2020 Douglas Henrique Silva, Renata Lopes Rosa, Demostenes Z Rodriguezinfo:eu-repo/semantics/openAccessSilva, Douglas HenriqueLopes Rosa, RenataZ Rodriguez, Demostenes2020-08-18T01:10:10Zoai:infocomp.dcc.ufla.br:article/842Revistahttps://infocomp.dcc.ufla.br/index.php/infocompPUBhttps://infocomp.dcc.ufla.br/index.php/infocomp/oaiinfocomp@dcc.ufla.br||apfreire@dcc.ufla.br1982-33631807-4545opendoar:2024-05-21T19:54:45.395432INFOCOMP: Jornal de Ciência da Computação - Universidade Federal de Lavras (UFLA)true |
dc.title.none.fl_str_mv |
Sentimental Analysis of Soccer Games Messages from Social Networks using User’s Profiles |
title |
Sentimental Analysis of Soccer Games Messages from Social Networks using User’s Profiles |
spellingShingle |
Sentimental Analysis of Soccer Games Messages from Social Networks using User’s Profiles Silva, Douglas Henrique |
title_short |
Sentimental Analysis of Soccer Games Messages from Social Networks using User’s Profiles |
title_full |
Sentimental Analysis of Soccer Games Messages from Social Networks using User’s Profiles |
title_fullStr |
Sentimental Analysis of Soccer Games Messages from Social Networks using User’s Profiles |
title_full_unstemmed |
Sentimental Analysis of Soccer Games Messages from Social Networks using User’s Profiles |
title_sort |
Sentimental Analysis of Soccer Games Messages from Social Networks using User’s Profiles |
author |
Silva, Douglas Henrique |
author_facet |
Silva, Douglas Henrique Lopes Rosa, Renata Z Rodriguez, Demostenes |
author_role |
author |
author2 |
Lopes Rosa, Renata Z Rodriguez, Demostenes |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Silva, Douglas Henrique Lopes Rosa, Renata Z Rodriguez, Demostenes |
description |
The people express their sentiments thought the Social Networks, and these sentiments can be measured to offer knowledge about tendencies and influences on Internet. In many scenarios, as in sport games, is important have the insight about what the people are thinking regarding a given player or product. This paper presents a metric based on phrase-level, in which is shown the importance of considering users´ characteristics, such as gender in sport scenario is shown. The calculation made from the word dictionary is adjusted by applying a correction factor based on the user´s profile characteristics. The results showed that considering the user's profile characteristics in the sentiment metric improves the sentiment analysis performance. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-06-18 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://infocomp.dcc.ufla.br/index.php/infocomp/article/view/842 |
url |
https://infocomp.dcc.ufla.br/index.php/infocomp/article/view/842 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://infocomp.dcc.ufla.br/index.php/infocomp/article/view/842/525 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2020 Douglas Henrique Silva, Renata Lopes Rosa, Demostenes Z Rodriguez info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2020 Douglas Henrique Silva, Renata Lopes Rosa, Demostenes Z Rodriguez |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Editora da UFLA |
publisher.none.fl_str_mv |
Editora da UFLA |
dc.source.none.fl_str_mv |
INFOCOMP Journal of Computer Science; Vol. 19 No. 1 (2020): June 2020 1982-3363 1807-4545 reponame:INFOCOMP: Jornal de Ciência da Computação instname:Universidade Federal de Lavras (UFLA) instacron:UFLA |
instname_str |
Universidade Federal de Lavras (UFLA) |
instacron_str |
UFLA |
institution |
UFLA |
reponame_str |
INFOCOMP: Jornal de Ciência da Computação |
collection |
INFOCOMP: Jornal de Ciência da Computação |
repository.name.fl_str_mv |
INFOCOMP: Jornal de Ciência da Computação - Universidade Federal de Lavras (UFLA) |
repository.mail.fl_str_mv |
infocomp@dcc.ufla.br||apfreire@dcc.ufla.br |
_version_ |
1799874742630481920 |