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 Title: Data Science for Economics and Finance: Methodologies and Applications
 Author(s) Sergio Consoli, Diego Reforgiato Recupero, Michaela Saisana
 Publisher: Springer; 1st ed. 2021 edition (June 10, 2021); eBook (Creative Commons Licensed)
 License(s): CC BYNCSA 4.0
 Hardcover/Paperback: 372 pages
 eBook: PDF and ePub
 Language: English
 ISBN10/ASIN: 3030668932
 ISBN13: 9783030668938
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Book Description
This open access book covers the use of data science, including advanced machine learning, big data analytics, Semantic Web technologies, natural language processing, social media analysis, time series analysis, among others, for applications in economics and finance. In addition, it shows some successful applications of advanced data science solutions used to extract new knowledge from data in order to improve economic forecasting models.
About the Authors Sergio Consoli is a Scientific Project Officer at the European Commission, Joint Research Centre, Italy, working on the project "Big Data and Forecasting of Economic Developments" aiming at exploring novel big data sources and methodologies to provide better economic forecasting.
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