Job profile demand understanding in international financial organizations: a natural language processing approach

The present work aims to create a Machine Learning model using unstructured text data in order to predict whether a position is prone to taking a longer Time to Fill than the overall average. As well as building an initial categorization of profiles within the organizations in which it was carrie...

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Autor principal: Rivas, Richard
Formato: Tesis de maestría
Lenguaje:Inglés
Publicado: Universidad Torcuato Di Tella 2024
Materias:
Predicción tecnológica
Technological Prediction
Natural Language Processing
Acceso en línea:https://repositorio.utdt.edu/handle/20.500.13098/12917
Aporte de:
Repositorio Digital Universidad Torcuato Di Tella de Universidad Torcuato Di Tella
id I57-R163-20.500.13098-12917
record_format dspace
spelling I57-R163-20.500.13098-129172025-11-28T16:21:06Z Job profile demand understanding in international financial organizations: a natural language processing approach Rivas, Richard Predicción tecnológica Technological Prediction Natural Language Processing The present work aims to create a Machine Learning model using unstructured text data in order to predict whether a position is prone to taking a longer Time to Fill than the overall average. As well as building an initial categorization of profiles within the organizations in which it was carried out, this will help to provide insights that allow understanding both the demand and supply of different job profiles using different Natural Language Processing and Unsupervised Machine Learning techniques. The processing of the text data will be done by using an open source Language Model (LLM) in order to generate their corresponding document embeddings. Universidad Torcuato Di Tella 2024-07-26T22:01:36Z 2024-07-26T22:01:36Z 2024 info:eu-repo/semantics/masterThesis info:ar-repo/semantics/tesis de maestría https://repositorio.utdt.edu/handle/20.500.13098/12917 eng info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-sa/2.5/ar/ 73 p. application/pdf application/pdf
institution Universidad Torcuato Di Tella
institution_str I-57
repository_str R-163
collection Repositorio Digital Universidad Torcuato Di Tella
language Inglés
orig_language_str_mv eng
topic Predicción tecnológica
Technological Prediction
Natural Language Processing
spellingShingle Predicción tecnológica
Technological Prediction
Natural Language Processing
Rivas, Richard
Job profile demand understanding in international financial organizations: a natural language processing approach
topic_facet Predicción tecnológica
Technological Prediction
Natural Language Processing
description The present work aims to create a Machine Learning model using unstructured text data in order to predict whether a position is prone to taking a longer Time to Fill than the overall average. As well as building an initial categorization of profiles within the organizations in which it was carried out, this will help to provide insights that allow understanding both the demand and supply of different job profiles using different Natural Language Processing and Unsupervised Machine Learning techniques. The processing of the text data will be done by using an open source Language Model (LLM) in order to generate their corresponding document embeddings.
format Tesis de maestría
Tesis de maestría
author Rivas, Richard
author_facet Rivas, Richard
author_sort Rivas, Richard
title Job profile demand understanding in international financial organizations: a natural language processing approach
title_short Job profile demand understanding in international financial organizations: a natural language processing approach
title_full Job profile demand understanding in international financial organizations: a natural language processing approach
title_fullStr Job profile demand understanding in international financial organizations: a natural language processing approach
title_full_unstemmed Job profile demand understanding in international financial organizations: a natural language processing approach
title_sort job profile demand understanding in international financial organizations: a natural language processing approach
publisher Universidad Torcuato Di Tella
publishDate 2024
url https://repositorio.utdt.edu/handle/20.500.13098/12917
work_keys_str_mv AT rivasrichard jobprofiledemandunderstandingininternationalfinancialorganizationsanaturallanguageprocessingapproach
_version_ 1850462115779837952

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