A framework for the Comparative analysis of text summarization techniques

Detalhes bibliográficos
Autor(a) principal: Ghosh, Trijit
Data de Publicação: 2022
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/136208
Resumo: Dissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Data Science
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spelling A framework for the Comparative analysis of text summarization techniquesInformation technology and IOT (Internet of things)Dissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Data ScienceWe see that with the boom of information technology and IOT (Internet of things), the size of information which is basically data is increasing at an alarming rate. This information can always be harnessed and if channeled into the right direction, we can always find meaningful information. But the problem is this data is not always numerical and there would be problems where the data would be completely textual, and some meaning has to be derived from it. If one would have to go through these texts manually, it would take hours or even days to get a concise and meaningful information out of the text. This is where a need for an automatic summarizer arises easing manual intervention, reducing time and cost but at the same time retaining the key information held by these texts. In the recent years, new methods and approaches have been developed which would help us to do so. These approaches are implemented in lot of domains, for example, Search engines provide snippets as document previews, while news websites produce shortened descriptions of news subjects, usually as headlines, to make surfing easier. Broadly speaking, there are mainly two ways of text summarization – extractive and abstractive summarization. Extractive summarization is the approach in which important sections of the whole text are filtered out to form the condensed form of the text. While the abstractive summarization is the approach in which the text as a whole is interpreted and examined and after discerning the meaning of the text, sentences are generated by the model itself describing the important points in a concise way.Rei, Ricardo Costa DiasHenriques, Roberto André PereiraRUNGhosh, Trijit2022-04-11T11:29:24Z2022-04-062022-04-06T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/136208TID:202988619enginfo: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:RCAAP2024-03-11T05:14:24Zoai:run.unl.pt:10362/136208Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:48:39.330658Repositório 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 A framework for the Comparative analysis of text summarization techniques
title A framework for the Comparative analysis of text summarization techniques
spellingShingle A framework for the Comparative analysis of text summarization techniques
Ghosh, Trijit
Information technology and IOT (Internet of things)
title_short A framework for the Comparative analysis of text summarization techniques
title_full A framework for the Comparative analysis of text summarization techniques
title_fullStr A framework for the Comparative analysis of text summarization techniques
title_full_unstemmed A framework for the Comparative analysis of text summarization techniques
title_sort A framework for the Comparative analysis of text summarization techniques
author Ghosh, Trijit
author_facet Ghosh, Trijit
author_role author
dc.contributor.none.fl_str_mv Rei, Ricardo Costa Dias
Henriques, Roberto André Pereira
RUN
dc.contributor.author.fl_str_mv Ghosh, Trijit
dc.subject.por.fl_str_mv Information technology and IOT (Internet of things)
topic Information technology and IOT (Internet of things)
description Dissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Data Science
publishDate 2022
dc.date.none.fl_str_mv 2022-04-11T11:29:24Z
2022-04-06
2022-04-06T00:00:00Z
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/10362/136208
TID:202988619
url http://hdl.handle.net/10362/136208
identifier_str_mv TID:202988619
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)
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