Chapter 5: How Can Sentiment Analysis Contribute to Financial Markets and Services?

Abraham Itzhak Weinberg

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

In recent years, the use of Sentiment Analysis (SA) has proliferated across a wide variety of fields, including financial markets and services. SA can help predict market trends, detect changes in consumer behavior, and identify potential investment opportunities. In this chapter, we explore the impact and applications of SA in financial markets and services and review both traditional and state-of-the-art algorithms for sentiment analysis. We demonstrate how SA approaches can help make better decisions and predictions in financial markets, stock exchange, trading, and cryptocurrencies. We provide examples of popular algorithms used in financial SA and discuss their pros and cons. In addition, we mention the main metrics for evaluating SA performance. By the end of this chapter, readers will have a deeper understanding of how sentiment analysis can contribute to financial markets and services, and the tools and techniques used to achieve accurate and reliable results.

Original languageEnglish
Title of host publicationArtificial Intelligence and beyond for Finance
PublisherWorld Scientific Publishing Co.
Pages207-234
Number of pages28
Volume15
ISBN (Electronic)9781800615212
ISBN (Print)9781800615205
StatePublished - 1 Jan 2024
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2024 by World Scientific Publishing Europe Ltd.

Keywords

  • Artificial intelligence (AI)
  • Financial markets
  • Financial services
  • Machine learning
  • Sentiment analysis

Fingerprint

Dive into the research topics of 'Chapter 5: How Can Sentiment Analysis Contribute to Financial Markets and Services?'. Together they form a unique fingerprint.

Cite this