Análisis y aplicaciones del método de Glove en el procesamiento del lenguaje natural: fundamentos e Implementación
| dc.contributor.advisor | Másmela Caita, Luis Alejandro | |
| dc.contributor.author | Jiménez Aguirre, Edwin Fernando | |
| dc.date.accessioned | 2025-04-29T21:24:44Z | |
| dc.date.available | 2025-04-29T21:24:44Z | |
| dc.date.created | 2024-12-12 | |
| dc.description | Este trabajo abarca el modelo de GloVe (Global Vectors), desarrollado por la Universidad de Stanford en 2014 en su artículo "GloVe: Global Vectors for Word Representation"[7]. La metodología será de tipo Cualitativa-Cuantitativa y el tipo de investigación pretende ser de tipo explicativo. Se propone establecer una contextualización del método de GloVe, que permita comprender a fondo la fundamentación matemático-teórica que hay detrás de este modelo, ejemplificarlo manualmente y con una simulación en Python que de a conocer su aplicabilidad en el mundo del "Natural Language Processing" (Procesamiento del lenguaje natural) y que sirva de base para futuras investigaciones en el tema del Deep Learning. | |
| dc.description.abstract | This work covers the GloVe (Global Vectors) model, developed by Stanford University in 2014 in his article "GloVe: Global Vectors for Word Representation"[7]. The methodology will be Qualitative-Quantitative type and the type of research aims to be explanatory. It is proposed establish a contextualization of the GloVe method, which allows a thorough understanding of the mathematical-theoretical foundation behind this model, exemplify it manually and with a simulation in Python that reveals its applicability in the world of "Natural Processing Language” and that serves as a basis for future research in the Deep Learning topic. | |
| dc.format.mimetype | ||
| dc.identifier.uri | http://hdl.handle.net/11349/95151 | |
| dc.language.iso | spa | |
| dc.publisher | Universidad Distrital Francisco José de Caldas | |
| dc.relation.references | [1] Scott Deerwester, Susan T Dumais, George W Furnas, Thomas K Landauer, and Ri chard Harshman. Indexing by latent semantic analysis. Journal of the American society for information science, 41(6):391–407, 1990. | |
| dc.relation.references | [2] Yoav Goldberg. word2vec explained: deriving mikolov et al.’s negative-sampling word embedding method. arXiv preprint arXiv:1402.3722, 2014. | |
| dc.relation.references | [3] Edwin Fernando Jimenez Aguirre. Primer modelo. https://colab.research. google.com/drive/18Lm05afZlPVd_iraDQ-6ouctY2I1CnKS?usp=sharing# scrollTo=kQX2YnIXosaj, 2024. Google Colaboratory notebook. | |
| dc.relation.references | [4] Sutskever I. Chen K. Corrado G. S. Mikolov, T. and J. Dean. Distribu ted representations of words and phrases and their compositionality. In NIPS, https://nlp.stanford.edu/projects/glove/:3111–3119, 2013b. | |
| dc.relation.references | [5] Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S Corrado, and Jeff Dean. Distributed representations of words and phrases and their compositionality. Advances in neural information processing systems, 26, 2013. | |
| dc.relation.references | [6] nlpoverview.com. ”modern deep learning techniques applied to natural language pro cessing”. https://nlpoverview.com/index.html, page 1, 2024. | |
| dc.relation.references | [7] Jeffrey Pennington, Richard Socher, and Christopher Manning. GloVe: Global vectors for word representation. Moschitti, Alessandro and Pang, Bo and Daelemans, Walter, https://nlp.stanford.edu/pubs/glove.pdf | |
| dc.relation.references | [8] Jeffrey Pennington, Richard Socher, and Christopher Manning. GloVe: Global vectors for word representation. Moschitti, Alessandro and Pang, Bo and Daelemans, Walter, https://nlp.stanford.edu/projects/glove/:1532–1543, 2014 | |
| dc.rights.acceso | Abierto (Texto Completo) | |
| dc.rights.accessrights | OpenAccess | |
| dc.subject | Incrustaciones de palabras | |
| dc.subject | Procesamiento del lenguaje natural | |
| dc.subject | Coocurrencia | |
| dc.subject | Word2Vec | |
| dc.subject | Latent semantic analysis (LSA) | |
| dc.subject.keyword | Word embeddings | |
| dc.subject.keyword | Natural language processing | |
| dc.subject.keyword | Co-occurrence | |
| dc.subject.keyword | Word2Vec | |
| dc.subject.keyword | Latent Ssmantic analysis (LSA) | |
| dc.subject.lemb | Matemáticas -- Tesis y disertaaciones académicas | |
| dc.title | Análisis y aplicaciones del método de Glove en el procesamiento del lenguaje natural: fundamentos e Implementación | |
| dc.title.titleenglish | Analysis and applications of the Glove method in natural language processing: fundamentals and Implementation | |
| dc.type | bachelorThesis | |
| dc.type.coar | http://purl.org/coar/resource_type/c_7a1f | |
| dc.type.degree | Monografía | |
| dc.type.driver | info:eu-repo/semantics/bachelorThesis |
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