Automatic Detection of Relevant Information, Predictions and Forecasts in Financial News through Topic Modelling with Latent Dirichlet Allocation

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

Published 2024-03-30

Everscope rating

1169.7

Relevance to quantitative trading

8 / 10

Implementation complexity

7 / 10

Reproducibility

4 / 5

About this paper

Methodology: Topic Modelling with Latent Dirichlet Allocation. Problem types: Natural Language Processing, Information Extraction, Text Classification, Topic Modeling.

arXiv:2404.01338 · Paper rankings

Open the interactive Everscope explorer for full analysis, charts, and paper battles.