Detection of Temporality at Discourse Level on Financial News by Combining Natural Language Processing and Machine Learning

By Silvia García-Méndez, Francisco de Arriba-Pérez, Ana Barros-Vila, Francisco J. González-Castaño

Published 2024-03-30

Everscope rating

1071.8

Relevance to quantitative trading

8 / 10

Implementation complexity

6 / 10

Reproducibility

4 / 5

About this paper

Methodology: Hybrid NLP and Machine Learning. Problem types: Classification, Natural Language Processing.

arXiv:2404.01337 · Paper rankings

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