Automatic Summary Extraction in Texts Using Genetic Algorithms [Genetik Algoritmalar Kullanilarak Metinlerde Otomatik Ozet Cikarma]

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dc.contributor.authorKarcioglu A.A.
dc.contributor.authorYasa A.C.
dc.date.accessioned2021-05-03T20:52:07Z
dc.date.available2021-05-03T20:52:07Z
dc.date.issued2020
dc.description28th Signal Processing and Communications Applications Conference, SIU 2020 -- 5 October 2020 through 7 October 2020 -- -- 166413en_US
dc.description.abstractAutomatic text summarization is one of the applications of natural language processing that has been studied for a long time. The increase in the amount of information in web resources has increased the need for automatic text summarization methods. It is difficult to design a system to produce abstracts created by human hands. For this reason, many researchers have focused on extracting sentences or paragraphs, which is a kind of summary. In this study, we introduce a method that was created using genetic algorithms to generate such summaries. After the texts are preprocessed, vocabulary is created and given as input to the proposed method. The sentence selection based on Genetic Algorithm is used to summarize and after that the summary is created, it is evaluated using the fitness function. In our first model, the fitness function is based on the frequency of each word and the word pair frequencies. The results of the applied model are discussed using the same dataset in another method based on tf-idf, with precision, recall, fscore and Rouge metrics. © 2020 IEEE.en_US
dc.identifier.doi10.1109/SIU49456.2020.9302205
dc.identifier.isbn9781728172064
dc.identifier.scopus2-s2.0-85100317912en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://doi.org/10.1109/SIU49456.2020.9302205
dc.identifier.urihttps://hdl.handle.net/11454/71062
dc.indekslendigikaynakScopusen_US
dc.language.isotren_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedingsen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectExtractive Automatic Summarizationen_US
dc.subjectGenetic Algorithmsen_US
dc.subjectNaturel Language Processingen_US
dc.titleAutomatic Summary Extraction in Texts Using Genetic Algorithms [Genetik Algoritmalar Kullanilarak Metinlerde Otomatik Ozet Cikarma]en_US
dc.typeConference Objecten_US

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