A Confirmatory Analysis for Automating the Evaluation of Motivation Letters to Emulate Human Judgment

A Confirmatory Analysis for Automating the Evaluation of Motivation Letters to Emulate Human Judgment

Manually reading, evaluating, and scoring motivation letters as part of the admissions process is a time-consuming and tedious task for Dalarna University's program managers. An automated scoring system would provide them with relief as well as the ability to make much faster decisions when sel...

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Bibliographic Details
Main Authors: Mercado Salazar, Jorge Anibal, Rana, S M Masud
Format: Others
Language:English
Published: Högskolan Dalarna, Institutionen för information och teknik 2021
Subjects:
Motivation Letter
Natural Language Processing
Topic Modelling
Latent Dirichlet Allocation
Non-Negative Matrix Factorization
LDAVis
Topic
Factors
Image Processing
Text Processing
Logistic Regression
Unsupervised Learning
Machine Learning
Other Social Sciences
Annan samhällsvetenskap
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:du-37469

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:du-37469

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