Beschreibung:
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 checking have been evolving for decades, finance theories have not yet fully considered and adapted to these ideas.
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.