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Intelligent Asset ManagementConcluding Remarks

Intelligent Asset Management: Concluding Remarks [In this final chapter, we summarize the whole book by reviewing concepts and algorithms proposed, as well as theories derived in this book. An outline of extracting and leveraging different aspects of knowledge from financial texts with the help of NLP techniques is given. We also mention here the model limitations, the issue of data availability, and statistical power of simulation results. Promising future directions of this research topic are also discussed at the end of this chapter.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Intelligent Asset ManagementConcluding Remarks

Part of the Socio-Affective Computing Book Series (volume 9)
Xing, Frank; Cambria, Erik; Welsch, Roy
Intelligent Asset Management — Nov 14, 2019
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Publisher
Springer International Publishing
Copyright
© Springer Nature Switzerland AG 2019
ISBN
978-3-030-30262-7
Pages
123 –127
DOI
10.1007/978-3-030-30263-4_8
Publisher site
See Chapter on Publisher Site

Abstract

[In this final chapter, we summarize the whole book by reviewing concepts and algorithms proposed, as well as theories derived in this book. An outline of extracting and leveraging different aspects of knowledge from financial texts with the help of NLP techniques is given. We also mention here the model limitations, the issue of data availability, and statistical power of simulation results. Promising future directions of this research topic are also discussed at the end of this chapter.]

Published: Nov 14, 2019

Keywords: Data availability; Market liquidity; Knowledge integration; Financial text; Deep learning; System deployment

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