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http://hdl.handle.net/2445/183339
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DC Field | Value | Language |
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dc.contributor.advisor | Vitrià i Marca, Jordi | - |
dc.contributor.author | Loris, David | - |
dc.date.accessioned | 2022-02-21T12:35:26Z | - |
dc.date.available | 2022-02-21T12:35:26Z | - |
dc.date.issued | 2021-01-18 | - |
dc.identifier.uri | http://hdl.handle.net/2445/183339 | - |
dc.description | Treballs finals del Màster de Fonaments de Ciència de Dades, Facultat de matemàtiques, Universitat de Barcelona. Any: 2021. Tutor: Jordi Vitrià i Marca | ca |
dc.description.abstract | [en] In this paper we introduce a model to help marketing specialists within the field of Search Advertising to limit spend on Google searches which have a low probability of leading to a revenue generating event. This is a topic which has not been widely addressed in scientific literature. For this study, we obtained data from a company which spends a large amount on Google Ads, but relies on a subjective and time-consuming approach to this problem. Our proposed model uses GloVe’s pre-trained Embedding Layers and Neural Networks to speed up and improve accuracy of this process. | ca |
dc.format.extent | 39 p. | - |
dc.format.mimetype | application/pdf | - |
dc.language.iso | eng | ca |
dc.rights | cc-by-nc-nd (c) David Loris, 2021 | - |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ | * |
dc.source | Màster Oficial - Fonaments de la Ciència de Dades | - |
dc.subject.classification | Publicitat per Internet | - |
dc.subject.classification | Xarxes neuronals (Informàtica) | - |
dc.subject.classification | Cerca a Internet | - |
dc.subject.classification | Treballs de fi de màster | - |
dc.subject.other | Internet advertising | - |
dc.subject.other | Neural networks (Computer science) | - |
dc.subject.other | Internet searching | - |
dc.subject.other | Master's theses | - |
dc.title | Identification of negative keywords in search marketing with embedding layers and neural networks | ca |
dc.type | info:eu-repo/semantics/masterThesis | ca |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | ca |
Appears in Collections: | Màster Oficial - Fonaments de la Ciència de Dades |
Files in This Item:
File | Description | Size | Format | |
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tfm_david_loris.pdf | Memòria | 1.08 MB | Adobe PDF | View/Open |
README.md | readme.md | 1.05 kB | Unknown | View/Open |
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