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Intelligent Asset Management

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...

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Bibliographic Details
Main Authors: Xing, Frank, Cambria, Erik (Author), Welsch, Roy (Author)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2019, 2019
Edition:1st ed. 2019
Series:Socio-Affective Computing
Subjects:
E-business
Electronic Commerce
Medicine / Research
Artificial Intelligence
Biology / Research
Data Mining
Biomedical Research
Data Mining And Knowledge Discovery
E-commerce And E-business
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
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

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