On the Improvement of Default Forecast Through Textual Analysis
Textual analysis is a widely used methodology in several research areas. In this paper we apply textual analysis to augment the conventional set of account defaults drivers with new text based variables. Through the employment of ad hoc dictionaries and distance measures we are able to classify each...
Main Authors: | Paola Cerchiello, Roberta Scaramozzino |
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Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2020-04-01
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Series: | Frontiers in Artificial Intelligence |
Subjects: | |
Online Access: | https://www.frontiersin.org/article/10.3389/frai.2020.00016/full |
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