Interpretabilidad categórica de clasificadores automáticos sobre contenido relacionado a la percepción de la seguridad

ilustraciones

Autores:: Bermúdez García, Andrés Julián

Tipo de recurso:

Fecha de publicación:: 2023

Institución:: Universidad Nacional de Colombia

Repositorio:: Universidad Nacional de Colombia

Idioma:: spa

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dc.title.spa.fl_str_mv	Interpretabilidad categórica de clasificadores automáticos sobre contenido relacionado a la percepción de la seguridad
dc.title.translated.eng.fl_str_mv	Categorical interpretability of automatic classifiers on content related to the perception of security
dc.title.translated.por.fl_str_mv	Interpretabilidade categórica de classificadores automáticos sobre conteúdo relacionado à percepção de segurança.
title	Interpretabilidad categórica de clasificadores automáticos sobre contenido relacionado a la percepción de la seguridad
spellingShingle	Interpretabilidad categórica de clasificadores automáticos sobre contenido relacionado a la percepción de la seguridad 510 - Matemáticas::519 - Probabilidades y matemáticas aplicadas 000 - Ciencias de la computación, información y obras generales::001 - Conocimiento Sentimientos Percepción de Seguridad (PoS) Interpretabilidad Local Interpretabilidad Categórica Procesamiento de Lenguaje Natural (NLP) LIME Perception of Security (PoS) Local and Categorical interpretability Natural Language Processing (NPL) LIME
title_short	Interpretabilidad categórica de clasificadores automáticos sobre contenido relacionado a la percepción de la seguridad
title_full	Interpretabilidad categórica de clasificadores automáticos sobre contenido relacionado a la percepción de la seguridad
title_fullStr	Interpretabilidad categórica de clasificadores automáticos sobre contenido relacionado a la percepción de la seguridad
title_full_unstemmed	Interpretabilidad categórica de clasificadores automáticos sobre contenido relacionado a la percepción de la seguridad
title_sort	Interpretabilidad categórica de clasificadores automáticos sobre contenido relacionado a la percepción de la seguridad
dc.creator.fl_str_mv	Bermúdez García, Andrés Julián
dc.contributor.advisor.none.fl_str_mv	Gómez Jaramillo, Francisco Albeiro
dc.contributor.author.none.fl_str_mv	Bermúdez García, Andrés Julián
dc.contributor.researchgroup.spa.fl_str_mv	Computational Modeling of Biological Systems Research Group - COMBIOS
dc.contributor.subjectmatterexpert.none.fl_str_mv	Chaparro , Luisa Fernanda
dc.subject.ddc.spa.fl_str_mv	510 - Matemáticas::519 - Probabilidades y matemáticas aplicadas 000 - Ciencias de la computación, información y obras generales::001 - Conocimiento
topic	510 - Matemáticas::519 - Probabilidades y matemáticas aplicadas 000 - Ciencias de la computación, información y obras generales::001 - Conocimiento Sentimientos Percepción de Seguridad (PoS) Interpretabilidad Local Interpretabilidad Categórica Procesamiento de Lenguaje Natural (NLP) LIME Perception of Security (PoS) Local and Categorical interpretability Natural Language Processing (NPL) LIME
dc.subject.lemb.none.fl_str_mv	Sentimientos
dc.subject.proposal.spa.fl_str_mv	Percepción de Seguridad (PoS) Interpretabilidad Local Interpretabilidad Categórica Procesamiento de Lenguaje Natural (NLP) LIME
dc.subject.proposal.eng.fl_str_mv	Perception of Security (PoS) Local and Categorical interpretability Natural Language Processing (NPL) LIME
description	ilustraciones
publishDate	2023
dc.date.accessioned.none.fl_str_mv	2023-06-20T16:36:28Z
dc.date.available.none.fl_str_mv	2023-06-20T16:36:28Z
dc.date.issued.none.fl_str_mv	2023-06-06
dc.type.spa.fl_str_mv	Trabajo de grado - Maestría
dc.type.driver.spa.fl_str_mv	info:eu-repo/semantics/masterThesis
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dc.type.content.spa.fl_str_mv	Text
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dc.identifier.instname.spa.fl_str_mv	Universidad Nacional de Colombia
dc.identifier.reponame.spa.fl_str_mv	Repositorio Institucional Universidad Nacional de Colombia
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identifier_str_mv	Universidad Nacional de Colombia Repositorio Institucional Universidad Nacional de Colombia
dc.language.iso.spa.fl_str_mv	spa
language	spa
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In 2018 3rd International Conference and Workshops on Recent Advances and Innovations in Engineering (ICRAIE), pages 1–5. IEEE. Wang, Z. J., Kale, A., Nori, H., Stella, P., Nunnally, M., Chau, D. H., Vorvoreanu, M., Vaughan, J. W., and Caruana, R. (2021). Gam changer: Editing generalized additive models with interactive visualization. arXiv preprint arXiv:2112.03245. Wang, X., Gerber, M. S., and Brown, D. E. (2012). Automatic crime prediction using events extracted from twitter posts. In International conference on social computing, behavioral-cultural modeling, and prediction, pages 231–238. Springer. Villegas, A.J.R., Pabón, J.S.M., Rubio, M.D., Quintero, S., Vargas, J.G., and García, H. (2022). Spatio-temporal sparsity in homicide prediction models. IEEE Access, 10:14359–14367. Victorino, J., Rudas, J., Reyes, A. M., Pulido, C., Chaparro, L. F., Narváez, L. A., Martinez, D., and Gómez, F. (2020). Spatial-temporal patterns of aggressive behaviors: A case study Bogotá, Colombia. 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dc.publisher.spa.fl_str_mv	Universidad Nacional de Colombia
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dc.publisher.faculty.spa.fl_str_mv	Facultad de Ciencias
dc.publisher.place.spa.fl_str_mv	Bogotá,Colombia
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institution	Universidad Nacional de Colombia
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spelling	Atribución-NoComercial-CompartirIgual 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-sa/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Gómez Jaramillo, Francisco Albeiro415aa92d5615e8a2fa29cfa0a28ec210Bermúdez García, Andrés Julián33ccc8775f8162142559ba12f0e07f64Computational Modeling of Biological Systems Research Group - COMBIOSChaparro , Luisa Fernanda2023-06-20T16:36:28Z2023-06-20T16:36:28Z2023-06-06https://repositorio.unal.edu.co/handle/unal/84030Universidad Nacional de ColombiaRepositorio Institucional Universidad Nacional de Colombiahttps://repositorio.unal.edu.co/ilustracionesLa percepción de la seguridad está relacionada con los sentimientos de los ciudadanos ante el riesgo asociado a los sucesos de seguridad y la magnitud de sus consecuencias. Debido a esta naturaleza subjetiva, es un tema complejo de cuantificar. Por ello, las redes sociales surgieron como una alternativa para cuantificar estas opiniones. Recientemente, se han utilizado métodos de aprendizaje automático supervisado multiclase para cuantificar distintos niveles de percepción de la seguridad. Sin embargo, estos métodos carecen de interpretabilidad sobre por qué un grupo de tweets clasifica en el mismo nivel de percepción de seguridad. En este trabajo, se propone una estrategia novedosa de interpretabilidad categórica y selección agnóstica al modelo para un grupo de predicciones relacionadas con el mismo nivel de percepción de la seguridad. Los resultados sugieren que el modelo propuesto presenta altos niveles de interpretabilidad para las diferentes categorías de percepción de seguridad. Adicionalmente, las métricas de interpretabilidad introducidas mejoran el proceso de selección de los modelos. (Texto tomado de la fuente)The perception of security relates to citizens’ feelings in the face of risk associated with security events and the magnitude of its consequences. Because of this subjective nature, it is a complex subject to quantify. Therefore, social networks emerged as an alternative to quantifying these opinions. Recently, multiclass supervised machine learning methods quantified different levels of security perception. However, these methods lack interpretability about why a group of tweets classifies in the same level of perception of security. This work proposes a novel strategy of categorical interpretability and model-agnostic selection for a group of predictions related to the same level of perception of security. The results suggest that the proposed model presents high levels of interpretability for the different PoS categories. Additionally, the introduced interpretability metrics improve the model selection process.MaestríaMagíster en Ciencias - Matemática AplicadaInterpretabilidad en aprendizaje automático.xiv, 70 páginasapplication/pdfspaUniversidad Nacional de ColombiaBogotá - Ciencias - Maestría en Ciencias - Matemática AplicadaFacultad de CienciasBogotá,ColombiaUniversidad Nacional de Colombia - Sede Bogotá510 - Matemáticas::519 - Probabilidades y matemáticas aplicadas000 - Ciencias de la computación, información y obras generales::001 - ConocimientoSentimientosPercepción de Seguridad (PoS)Interpretabilidad LocalInterpretabilidad CategóricaProcesamiento de Lenguaje Natural (NLP)LIMEPerception of Security (PoS)Local and Categorical interpretabilityNatural Language Processing (NPL)LIMEInterpretabilidad categórica de clasificadores automáticos sobre contenido relacionado a la percepción de la seguridadCategorical interpretability of automatic classifiers on content related to the perception of securityInterpretabilidade categórica de classificadores automáticos sobre conteúdo relacionado à percepção de segurança.Trabajo de grado - Maestríainfo:eu-repo/semantics/masterThesisinfo:eu-repo/semantics/acceptedVersionTexthttp://purl.org/redcol/resource_type/TMZschech, P., Weinzierl, S., Hambauer, N., Zilker, S., and Kraus, M. (2022). Gam (e) changer or not? an evaluation o interpretable machine learning models based on additive model constraints. arXiv preprint arXiv:2204.09123.Zhu, Q. (2020). On the performance of matthews correlation coefficient (mcc) for imbalanced dataset. Pattern Recognition Letters, 136:71–80.Zhang, Y., Chen, M., and Liu, L. (2015). A review on text mining. In 2015 6th IEEE International Conference on Software Engineering and Service Science (ICSESS), pages 681–685. IEEE.Yadav, S. and Sarkar, M. (2018). Enhancing sentiment analysis using domain-specific lexicon: A case study on gst. In 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI), pages 1109–1114. IEEE.Yadav, R. and Sheoran, S. K. (2018). Crime prediction using auto regression techniques for time series data. In 2018 3rd International Conference and Workshops on Recent Advances and Innovations in Engineering (ICRAIE), pages 1–5. IEEE.Wang, Z. 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In Third Conference on Applied Natural Language Processing, pages 119–125.InvestigadoresLICENSElicense.txtlicense.txttext/plain; charset=utf-85879https://repositorio.unal.edu.co/bitstream/unal/84030/1/license.txteb34b1cf90b7e1103fc9dfd26be24b4aMD51ORIGINAL1010217881.2023.pdf1010217881.2023.pdfTesis de Maestría en Ciencias - Matemática Aplicadaapplication/pdf3164404https://repositorio.unal.edu.co/bitstream/unal/84030/3/1010217881.2023.pdfd4b8ef110bd4c89dd8b6359708bc8baeMD53THUMBNAIL1010217881.2023.pdf.jpg1010217881.2023.pdf.jpgGenerated Thumbnailimage/jpeg4598https://repositorio.unal.edu.co/bitstream/unal/84030/4/1010217881.2023.pdf.jpg712860d7950ae70a941f5348eba6c63aMD54unal/84030oai:repositorio.unal.edu.co:unal/840302023-08-09 23:04:10.846Repositorio Institucional Universidad Nacional de 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