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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Xing, Frank (Συγγραφέας, 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)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
Έκδοση:1st ed. 2019.
Σειρά:Socio-Affective Computing, 9
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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.