Text Analysis in Finance: A Survey

Issam Aattouchi, Mounir Ait Kerroum, Saida Elmendili

2021

Abstract

The new advancements in the domains of artificial intelligence and machine learning, have provided a vast opportunity to provides a means to interpret external data correctly, learn from such data, and exhibit flexible adaptation. The current combination of computing power and complex algorithms has made fields such as Artificial Intelligence, and particularly its Deep Learning branch, very popular and influential. The financial sector is undergoing a significant transformation in light of the new emerging artificial intelligence technologies and the increasingly competitive markets. This article introduces a survey of research on the analysis of the recent financial news, presenting and comparing different sources of information, methods and models of content analysis in the financial markets (return on assets, volatility, interest rate, etc.). The purpose of this surveys is providing a state-of-the-art, on the application of sentiment analysis methods, in the finance domain, to provide systematic approach in decision making.

Paper Citation

in Harvard Style

Aattouchi I., Ait Kerroum M. and Elmendili S. (2021). Text Analysis in Finance: A Survey. In Proceedings of the 2nd International Conference on Big Data, Modelling and Machine Learning - Volume 1: BML, ISBN 978-989-758-559-3, pages 50-59. DOI: 10.5220/0010728200003101

in Bibtex Style

@conference{bml21,
author={Issam Aattouchi and Mounir Ait Kerroum and Saida Elmendili},
title={Text Analysis in Finance: A Survey},
booktitle={Proceedings of the 2nd International Conference on Big Data, Modelling and Machine Learning - Volume 1: BML,},
year={2021},
pages={50-59},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010728200003101},
isbn={978-989-758-559-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Big Data, Modelling and Machine Learning - Volume 1: BML,
TI - Text Analysis in Finance: A Survey
SN - 978-989-758-559-3
AU - Aattouchi I.
AU - Ait Kerroum M.
AU - Elmendili S.
PY - 2021
SP - 50
EP - 59
DO - 10.5220/0010728200003101