Utilização do modelo skip-gram para representação distribuída de palavras no projeto Media Cloud Brasil
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Tipo de documento: | Dissertação |
Idioma: | por |
Título da fonte: | Repositório Institucional do FGV (FGV Repositório Digital) |
Texto Completo: | http://hdl.handle.net/10438/16685 |
Resumo: | There is a representation problem when working with natural language processing because once the traditional model of bag-of-words represents the documents and words as single matrix, this one tends to be completely sparse. In order to deal with this problem, there are some methods capable of represent the words using a distributed representation, with a smaller dimension and more compact, including some properties that allow to relate words on the semantic form. The aim of this work is to use a dataset obtained by the Media Cloud Brasil project and apply the skip-gram model to explore relations and search for pattern that helps to understand the content. |
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Lopes, Evandro DalbemEscolas::EMApSouza, Renato RochaCamargo, SabrinaMello, HelianaCoelho, Flávio Codeço2016-07-25T17:47:47Z2016-07-25T17:47:47Z2015-06-30LOPES, Evandro Dalbem. Utilização do modelo skip-gram para representação distribuída de palavras no projeto Media Cloud Brasil. Dissertação (Mestrado em Matemática Aplicada) - Escola de Matemática Aplicada, Fundação Getúlio Vargas - FGV, Rio de Janeiro, 2015.http://hdl.handle.net/10438/16685There is a representation problem when working with natural language processing because once the traditional model of bag-of-words represents the documents and words as single matrix, this one tends to be completely sparse. In order to deal with this problem, there are some methods capable of represent the words using a distributed representation, with a smaller dimension and more compact, including some properties that allow to relate words on the semantic form. The aim of this work is to use a dataset obtained by the Media Cloud Brasil project and apply the skip-gram model to explore relations and search for pattern that helps to understand the content.Existe um problema de representação em processamento de linguagem natural, pois uma vez que o modelo tradicional de bag-of-words representa os documentos e as palavras em uma unica matriz, esta tende a ser completamente esparsa. Para lidar com este problema, surgiram alguns métodos que são capazes de representar as palavras utilizando uma representação distribuída, em um espaço de dimensão menor e mais compacto, inclusive tendo a propriedade de relacionar palavras de forma semântica. Este trabalho tem como objetivo utilizar um conjunto de documentos obtido através do projeto Media Cloud Brasil para aplicar o modelo skip-gram em busca de explorar relações e encontrar padrões que facilitem na compreensão do conteúdo.porNatural language processingNeural networksSkip-gramMedia Cloud BrasilProcessamento de linguagem naturalRedes neuraisMatemáticaProcessamento da linguagem natural (Computação)Media Cloud BrasilRedes neurais (Computação)Utilização do modelo skip-gram para representação distribuída de palavras no projeto Media Cloud Brasilinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisreponame:Repositório Institucional do FGV (FGV Repositório Digital)instname:Fundação Getulio Vargas 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InstitucionalPRIhttp://bibliotecadigital.fgv.br/dspace-oai/requestopendoar:39742023-11-28T06:10:07Repositório Institucional do FGV (FGV Repositório Digital) - Fundação Getulio Vargas 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dc.title.por.fl_str_mv |
Utilização do modelo skip-gram para representação distribuída de palavras no projeto Media Cloud Brasil |
title |
Utilização do modelo skip-gram para representação distribuída de palavras no projeto Media Cloud Brasil |
spellingShingle |
Utilização do modelo skip-gram para representação distribuída de palavras no projeto Media Cloud Brasil Lopes, Evandro Dalbem Natural language processing Neural networks Skip-gram Media Cloud Brasil Processamento de linguagem natural Redes neurais Matemática Processamento da linguagem natural (Computação) Media Cloud Brasil Redes neurais (Computação) |
title_short |
Utilização do modelo skip-gram para representação distribuída de palavras no projeto Media Cloud Brasil |
title_full |
Utilização do modelo skip-gram para representação distribuída de palavras no projeto Media Cloud Brasil |
title_fullStr |
Utilização do modelo skip-gram para representação distribuída de palavras no projeto Media Cloud Brasil |
title_full_unstemmed |
Utilização do modelo skip-gram para representação distribuída de palavras no projeto Media Cloud Brasil |
title_sort |
Utilização do modelo skip-gram para representação distribuída de palavras no projeto Media Cloud Brasil |
author |
Lopes, Evandro Dalbem |
author_facet |
Lopes, Evandro Dalbem |
author_role |
author |
dc.contributor.unidadefgv.por.fl_str_mv |
Escolas::EMAp |
dc.contributor.member.none.fl_str_mv |
Souza, Renato Rocha Camargo, Sabrina Mello, Heliana |
dc.contributor.author.fl_str_mv |
Lopes, Evandro Dalbem |
dc.contributor.advisor1.fl_str_mv |
Coelho, Flávio Codeço |
contributor_str_mv |
Coelho, Flávio Codeço |
dc.subject.eng.fl_str_mv |
Natural language processing Neural networks Skip-gram |
topic |
Natural language processing Neural networks Skip-gram Media Cloud Brasil Processamento de linguagem natural Redes neurais Matemática Processamento da linguagem natural (Computação) Media Cloud Brasil Redes neurais (Computação) |
dc.subject.por.fl_str_mv |
Media Cloud Brasil Processamento de linguagem natural Redes neurais |
dc.subject.area.por.fl_str_mv |
Matemática |
dc.subject.bibliodata.por.fl_str_mv |
Processamento da linguagem natural (Computação) Media Cloud Brasil Redes neurais (Computação) |
description |
There is a representation problem when working with natural language processing because once the traditional model of bag-of-words represents the documents and words as single matrix, this one tends to be completely sparse. In order to deal with this problem, there are some methods capable of represent the words using a distributed representation, with a smaller dimension and more compact, including some properties that allow to relate words on the semantic form. The aim of this work is to use a dataset obtained by the Media Cloud Brasil project and apply the skip-gram model to explore relations and search for pattern that helps to understand the content. |
publishDate |
2015 |
dc.date.issued.fl_str_mv |
2015-06-30 |
dc.date.accessioned.fl_str_mv |
2016-07-25T17:47:47Z |
dc.date.available.fl_str_mv |
2016-07-25T17:47:47Z |
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.citation.fl_str_mv |
LOPES, Evandro Dalbem. Utilização do modelo skip-gram para representação distribuída de palavras no projeto Media Cloud Brasil. Dissertação (Mestrado em Matemática Aplicada) - Escola de Matemática Aplicada, Fundação Getúlio Vargas - FGV, Rio de Janeiro, 2015. |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10438/16685 |
identifier_str_mv |
LOPES, Evandro Dalbem. Utilização do modelo skip-gram para representação distribuída de palavras no projeto Media Cloud Brasil. Dissertação (Mestrado em Matemática Aplicada) - Escola de Matemática Aplicada, Fundação Getúlio Vargas - FGV, Rio de Janeiro, 2015. |
url |
http://hdl.handle.net/10438/16685 |
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openAccess |
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