Classification of digitized documents applying neural networks
The exponential increase of the information available in digital format during the last years and the expectations of future growth make it necessary for the organization of information in order to improve the search and access to relevant data. For this reason, it is important to research and imple...
- Autores:
-
amelec, viloria
Varela, Noel
Pineda Lezama, Omar Bonerge
ORELLANO LLINAS, NATALY
Flores, Yasmin
Hernandez Palma, Hugo Gaspar
Vargas Mercado, Carlos
Marín González, Freddy
Marín González, Freddy
- Tipo de recurso:
- http://purl.org/coar/resource_type/c_816b
- Fecha de publicación:
- 2020
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/6183
- Acceso en línea:
- https://hdl.handle.net/11323/6183
https://repositorio.cuc.edu.co/
- Palabra clave:
- Text categorization
Artificial neural networks
Multilayer perceptron
- Rights
- openAccess
- License
- CC0 1.0 Universal
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| dc.title.spa.fl_str_mv |
Classification of digitized documents applying neural networks |
| title |
Classification of digitized documents applying neural networks |
| spellingShingle |
Classification of digitized documents applying neural networks Text categorization Artificial neural networks Multilayer perceptron |
| title_short |
Classification of digitized documents applying neural networks |
| title_full |
Classification of digitized documents applying neural networks |
| title_fullStr |
Classification of digitized documents applying neural networks |
| title_full_unstemmed |
Classification of digitized documents applying neural networks |
| title_sort |
Classification of digitized documents applying neural networks |
| dc.creator.fl_str_mv |
amelec, viloria Varela, Noel Pineda Lezama, Omar Bonerge ORELLANO LLINAS, NATALY Flores, Yasmin Hernandez Palma, Hugo Gaspar Vargas Mercado, Carlos Marín González, Freddy Marín González, Freddy |
| dc.contributor.author.spa.fl_str_mv |
amelec, viloria Varela, Noel Pineda Lezama, Omar Bonerge ORELLANO LLINAS, NATALY Flores, Yasmin Hernandez Palma, Hugo Gaspar Vargas Mercado, Carlos Marín González, Freddy |
| dc.contributor.author.none.fl_str_mv |
Marín González, Freddy |
| dc.subject.spa.fl_str_mv |
Text categorization Artificial neural networks Multilayer perceptron |
| topic |
Text categorization Artificial neural networks Multilayer perceptron |
| description |
The exponential increase of the information available in digital format during the last years and the expectations of future growth make it necessary for the organization of information in order to improve the search and access to relevant data. For this reason, it is important to research and implement an automatic text classification system that allows the organization of documents according to their corresponding category by using neural networks with supervised learning. In such a way, a faster process can be carried out in a timely and cost-efficient way. The criteria for classifying documents are based on the defined categories. |
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2020 |
| dc.date.accessioned.none.fl_str_mv |
2020-04-14T20:31:37Z |
| dc.date.available.none.fl_str_mv |
2020-04-14T20:31:37Z |
| dc.date.issued.none.fl_str_mv |
2020-03-05 |
| dc.type.spa.fl_str_mv |
Pre-Publicación |
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http://purl.org/coar/resource_type/c_816b |
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Text |
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info:eu-repo/semantics/preprint |
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http://purl.org/coar/resource_type/c_816b |
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acceptedVersion |
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https://hdl.handle.net/11323/6183 |
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Corporación Universidad de la Costa |
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REDICUC - Repositorio CUC |
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https://repositorio.cuc.edu.co/ |
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https://hdl.handle.net/11323/6183 https://repositorio.cuc.edu.co/ |
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Corporación Universidad de la Costa REDICUC - Repositorio CUC |
| dc.language.iso.none.fl_str_mv |
eng |
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eng |
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CC0 1.0 Universal |
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http://creativecommons.org/publicdomain/zero/1.0/ |
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info:eu-repo/semantics/openAccess |
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CC0 1.0 Universal http://creativecommons.org/publicdomain/zero/1.0/ http://purl.org/coar/access_right/c_abf2 |
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openAccess |
| dc.publisher.spa.fl_str_mv |
Universidad de la Costa |
| institution |
Corporación Universidad de la Costa |
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amelec, viloriaVarela, NoelPineda Lezama, Omar BonergeORELLANO LLINAS, NATALYFlores, YasminHernandez Palma, Hugo GasparVargas Mercado, CarlosMarín González, FreddyMarín González, Freddyvirtual::349-12020-04-14T20:31:37Z2020-04-14T20:31:37Z2020-03-05https://hdl.handle.net/11323/6183Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/The exponential increase of the information available in digital format during the last years and the expectations of future growth make it necessary for the organization of information in order to improve the search and access to relevant data. For this reason, it is important to research and implement an automatic text classification system that allows the organization of documents according to their corresponding category by using neural networks with supervised learning. In such a way, a faster process can be carried out in a timely and cost-efficient way. The criteria for classifying documents are based on the defined categories.amelec, viloria-will be generated-orcid-0000-0003-2673-6350-600Varela, NoelPineda Lezama, Omar BonergeORELLANO LLINAS, NATALY-will be generated-orcid-0000-0002-5341-6718-600Flores, YasminHernandez Palma, Hugo Gaspar-will be generated-orcid-0000-0002-3873-0530-600Vargas Mercado, Carlos-will be generated-orcid-0000-0002-5436-0568-600Marín González, FreddyengUniversidad de la CostaCC0 1.0 Universalhttp://creativecommons.org/publicdomain/zero/1.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Text categorizationArtificial neural networksMultilayer perceptronClassification of digitized documents applying neural networksPre-Publicaciónhttp://purl.org/coar/resource_type/c_816bTextinfo:eu-repo/semantics/preprinthttp://purl.org/redcol/resource_type/ARTOTRinfo:eu-repo/semantics/acceptedVersionPublication008b0766-3695-47f5-a613-53890b5cf267virtual::349-1008b0766-3695-47f5-a613-53890b5cf267virtual::349-1https://scholar.google.es/citations?user=TmoQZU4AAAAJ&hl=esvirtual::349-10000-0002-3935-8806virtual::349-1ORIGINALClassification of Digitized Documents Applying Neural Networks.pdfClassification of Digitized Documents Applying Neural Networks.pdfapplication/pdf79145https://repositorio.cuc.edu.co/bitstreams/26952c0f-983c-442a-bcfe-8565709dd933/downloadb4ed30d6a9920dc98aa2450927d9318eMD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8701https://repositorio.cuc.edu.co/bitstreams/6ff8102a-8284-408c-9300-67f66eac01b5/download42fd4ad1e89814f5e4a476b409eb708cMD52LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorio.cuc.edu.co/bitstreams/b09d51ee-c611-47e7-86c0-2318eac1e90c/download8a4605be74aa9ea9d79846c1fba20a33MD53THUMBNAILClassification of Digitized Documents Applying Neural Networks.pdf.jpgClassification of Digitized Documents Applying Neural Networks.pdf.jpgimage/jpeg38374https://repositorio.cuc.edu.co/bitstreams/8681caae-67bc-44f0-9344-eec9d5bd0e8a/download95ec758bd95d36c9e8e220e34003249aMD54TEXTClassification of Digitized Documents Applying Neural Networks.pdf.txtClassification of Digitized Documents Applying Neural Networks.pdf.txttext/plain990https://repositorio.cuc.edu.co/bitstreams/e8879d09-d574-4be2-b170-63418ef580e7/downloadf7bdc96bf2d647d03286078a5e9bdc47MD5511323/6183oai:repositorio.cuc.edu.co:11323/61832025-02-20 12:20:55.933http://creativecommons.org/publicdomain/zero/1.0/CC0 1.0 Universalopen.accesshttps://repositorio.cuc.edu.coRepositorio de la Universidad de la Costa CUCrepdigital@cuc.edu.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 |