Intelligent Asset Management

• Main Authors: Xing, Frank (Author, http://id.loc.gov/vocabulary/relators/aut), Cambria, Erik (http://id.loc.gov/vocabulary/relators/aut), Welsch, Roy (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Series: Socio-Affective Computing, 9
• Subjects: Medicine.; Data mining.; Artificial intelligence.; E-business.; Electronic commerce.; E-commerce.; Biomedicine, general.; Data Mining and Knowledge Discovery.; Artificial Intelligence.; e-Business/e-Commerce.; e-Commerce/e-business.

This book presents a systematic application of recent advances in artificial intelligence (AI) to the problem of asset management. While natural language processing and text mining techniques, such as semantic representation, sentiment analysis, entity extraction, commonsense reasoning, and fact che...

Table of Contents:

• Chapter 1. Introduction
• Chapter 2
• Revisiting the Literature
• Chapter 3. Theoretical Underpinnings on Text Mining
• Chapter 4. Computational Semantics for Asset Correlations
• Chapter 5. Sentiment Analysis for View Modeling
• Chapter 6. Storage and Update of Domain Knowledge
• Chapter 7. Dialog Systems and Robo-advisory
• Chapter 8. Concluding Remarks
• Appendix
• Index.