Deep learning techniques for hate speech detection on twitter during the 2022 national strike in Ecuador
Ecuador went through a national strike in 2022, which occurred for several political reasons. Given the mobilization by indigenous communities, a food crisis affected most of the country. This led people to generate hatred towards these communities. This study focuses on developing various hate spee...
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| Yazar: | |
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| Materyal Türü: | bachelorThesis |
| Dil: | eng |
| Baskı/Yayın Bilgisi: |
2024
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| Konular: | |
| Online Erişim: | http://repositorio.yachaytech.edu.ec/handle/123456789/738 |
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Etiketle | _version_ | 1840070390564519936 |
|---|---|
| author | Menoscal Saltos, Wilter José |
| author_facet | Menoscal Saltos, Wilter José |
| author_role | author |
| collection | Repositorio Universidad Yachay Tech |
| dc.contributor.none.fl_str_mv | Cuenca Pauta, Erick Eduardo Escobar Cordova, Silvana Karina |
| dc.creator.none.fl_str_mv | Menoscal Saltos, Wilter José |
| dc.date.none.fl_str_mv | 2024-04-06T09:39:01Z 2024-04-06T09:39:01Z 2024-04 |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | http://repositorio.yachaytech.edu.ec/handle/123456789/738 |
| dc.language.none.fl_str_mv | eng |
| dc.publisher.none.fl_str_mv | Universidad de Investigación de Tecnología Experimental Yachay |
| dc.rights.none.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.source.none.fl_str_mv | reponame:Repositorio Universidad Yachay Tech instname:Universidad Yachay Tech instacron:Yachay |
| dc.subject.none.fl_str_mv | Sequential Neural Network (SNN) Logistic Regression (LR) Support Vector Machine (SVM) Random Forest (RF) Naive Bayes (NB) |
| dc.title.none.fl_str_mv | Deep learning techniques for hate speech detection on twitter during the 2022 national strike in Ecuador |
| dc.type.none.fl_str_mv | info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/bachelorThesis |
| description | Ecuador went through a national strike in 2022, which occurred for several political reasons. Given the mobilization by indigenous communities, a food crisis affected most of the country. This led people to generate hatred towards these communities. This study focuses on developing various hate speech detection models in different branches of artificial intelligence, both in the fields of machine learning and deep learning. The aim is to create a model capable of detecting hate speech against indigenous communities in Ecuador. A thorough study of the performance of all models was conducted to finally select the best model among them, in order to use this model on any platform to detect and counteract such hate speech. |
| eu_rights_str_mv | openAccess |
| format | bachelorThesis |
| id | Yachay_9db091cbe9332a0ead2e8d435d0336ad |
| instacron_str | Yachay |
| institution | Yachay |
| instname_str | Universidad Yachay Tech |
| language | eng |
| network_acronym_str | Yachay |
| network_name_str | Repositorio Universidad Yachay Tech |
| oai_identifier_str | oai:repositorio.yachaytech.edu.ec:123456789/738 |
| publishDate | 2024 |
| publisher.none.fl_str_mv | Universidad de Investigación de Tecnología Experimental Yachay |
| reponame_str | Repositorio Universidad Yachay Tech |
| repository.mail.fl_str_mv | . |
| repository.name.fl_str_mv | Repositorio Universidad Yachay Tech - Universidad Yachay Tech |
| repository_id_str | 10284 |
| spelling | Deep learning techniques for hate speech detection on twitter during the 2022 national strike in EcuadorMenoscal Saltos, Wilter JoséSequential Neural Network (SNN)Logistic Regression (LR)Support Vector Machine (SVM)Random Forest (RF)Naive Bayes (NB)Ecuador went through a national strike in 2022, which occurred for several political reasons. Given the mobilization by indigenous communities, a food crisis affected most of the country. This led people to generate hatred towards these communities. This study focuses on developing various hate speech detection models in different branches of artificial intelligence, both in the fields of machine learning and deep learning. The aim is to create a model capable of detecting hate speech against indigenous communities in Ecuador. A thorough study of the performance of all models was conducted to finally select the best model among them, in order to use this model on any platform to detect and counteract such hate speech.Ecuador pasó por un paro nacional en el año 2022, esto se dio por varias razones políticas, donde, dada la movilización por parte de las comunidades indígenas, se pasó una crisis alimentaria afectando a la mayoría parte del país. A esto la gente empezó a generar odio hacia estas comunidades. Este estudio está enfocado en desarrollar varios modelos de detección de discurso de odio, en diferentes ramas de la inteligencia artificial, tanto en el campo de machine learning y deep learning. Esto con el fin de crear un modelo que sea capaz de detectar discurso de odio sobre las comunidades indígenas en Ecuador. Se hizo un estudio en profundidad del rendimiento de todos los modelos, para finalmente tomar el mejor modelo de todos los planteados, con el fin de poder usar este modelo en cualquier plataforma y así detectar y persuadir a estos discursos de odio.Ingeniero/a en Tecnologías de la InformaciónUniversidad de Investigación de Tecnología Experimental YachayCuenca Pauta, Erick EduardoEscobar Cordova, Silvana Karina2024-04-06T09:39:01Z2024-04-06T09:39:01Z2024-04info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/bachelorThesisapplication/pdfhttp://repositorio.yachaytech.edu.ec/handle/123456789/738enginfo:eu-repo/semantics/openAccessreponame:Repositorio Universidad Yachay Techinstname:Universidad Yachay Techinstacron:Yachay2025-07-08T17:53:35Zoai:repositorio.yachaytech.edu.ec:123456789/738Institucionalhttps://repositorio.yachaytech.edu.ec/Universidad públicahttps://www.yachaytech.edu.ec/https://repositorio.yachaytech.edu.ec/oaiEcuador...opendoar:102842025-07-08T17:53:35falseInstitucionalhttps://repositorio.yachaytech.edu.ec/Universidad públicahttps://www.yachaytech.edu.ec/https://repositorio.yachaytech.edu.ec/oai.Ecuador...opendoar:102842025-07-08T17:53:35Repositorio Universidad Yachay Tech - Universidad Yachay Techfalse |
| spellingShingle | Deep learning techniques for hate speech detection on twitter during the 2022 national strike in Ecuador Menoscal Saltos, Wilter José Sequential Neural Network (SNN) Logistic Regression (LR) Support Vector Machine (SVM) Random Forest (RF) Naive Bayes (NB) |
| status_str | publishedVersion |
| title | Deep learning techniques for hate speech detection on twitter during the 2022 national strike in Ecuador |
| title_full | Deep learning techniques for hate speech detection on twitter during the 2022 national strike in Ecuador |
| title_fullStr | Deep learning techniques for hate speech detection on twitter during the 2022 national strike in Ecuador |
| title_full_unstemmed | Deep learning techniques for hate speech detection on twitter during the 2022 national strike in Ecuador |
| title_short | Deep learning techniques for hate speech detection on twitter during the 2022 national strike in Ecuador |
| title_sort | Deep learning techniques for hate speech detection on twitter during the 2022 national strike in Ecuador |
| topic | Sequential Neural Network (SNN) Logistic Regression (LR) Support Vector Machine (SVM) Random Forest (RF) Naive Bayes (NB) |
| url | http://repositorio.yachaytech.edu.ec/handle/123456789/738 |