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Hybrid models for hateful memes classification
dc.contributor | Perera Lluna, Alexandre |
dc.contributor.author | Leyva Massagué, Jan |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial |
dc.date.accessioned | 2022-10-26T06:51:23Z |
dc.date.available | 2022-10-26T06:51:23Z |
dc.date.issued | 2022-10 |
dc.identifier.uri | http://hdl.handle.net/2117/375015 |
dc.description.abstract | Over recent years hate speech has rapidly spread over the internet, concretely this work centered on Hateful Memes dataset, a problem that requires both visual and linguistic understanding of the meme to classify it correctly. In order to detect hate speech easily, AI can help. This work has presented a method that can help with it. The approach consists of an architecture that starts in-painting the memes from text, then extracting relevant features (including race), and finally training two models based on transformers (BERT and ERNIE-VIl) in order to ensemble it and get the hatefulness of the meme. At the end of the work, the results are analyzed in order to help the community that deals with similar multimodal problems |
dc.language.iso | eng |
dc.publisher | Universitat Politècnica de Catalunya |
dc.publisher | Universitat de Barcelona |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/3.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Matemàtiques i estadística |
dc.subject.lcsh | Artificial intelligence |
dc.subject.lcsh | Neural networks (Computer science) |
dc.subject.other | Multi-modal models |
dc.subject.other | Transformers |
dc.subject.other | Hateful speech |
dc.subject.other | Visionlinguistic |
dc.subject.other | Feature-extraction |
dc.subject.other | Hateful Memes |
dc.subject.other | BERT |
dc.subject.other | ERNIE-Vil. |
dc.title | Hybrid models for hateful memes classification |
dc.type | Master thesis |
dc.subject.lemac | Intel·ligència artificial |
dc.subject.lemac | Xarxes neuronals (Informàtica) |
dc.subject.ams | Classificació AMS::68 Computer science::68T Artificial intelligence |
dc.identifier.slug | FME-2291 |
dc.rights.access | Open Access |
dc.date.updated | 2022-10-19T05:27:17Z |
dc.audience.educationlevel | Màster |
dc.audience.mediator | Universitat Politècnica de Catalunya. Facultat de Matemàtiques i Estadística |
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