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Intelligent Asset ManagementTheoretical Underpinnings on Text Mining

Intelligent Asset Management: Theoretical Underpinnings on Text Mining [This chapter provides multiple perspectives on the structure of natural language. We try to answer two fascinating questions in this chapter: what kind of information can we extract from human language, and is the extracted information sufficient or effective for financial forecasting? Three hierarchical representations of languageHierarchical representations of language and its functions are compared and aligned. We propose a dichotomy of semantics and sentiment underlying natural language, which is ideally suited for financial applications and takes into account facts about time. Finally, we present some examples to show that utilization of natural language in business areas has inadvertently followed this structure.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Intelligent Asset ManagementTheoretical Underpinnings on Text Mining

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
27 –35
DOI
10.1007/978-3-030-30263-4_3
Publisher site
See Chapter on Publisher Site

Abstract

[This chapter provides multiple perspectives on the structure of natural language. We try to answer two fascinating questions in this chapter: what kind of information can we extract from human language, and is the extracted information sufficient or effective for financial forecasting? Three hierarchical representations of languageHierarchical representations of language and its functions are compared and aligned. We propose a dichotomy of semantics and sentiment underlying natural language, which is ideally suited for financial applications and takes into account facts about time. Finally, we present some examples to show that utilization of natural language in business areas has inadvertently followed this structure.]

Published: Nov 14, 2019

Keywords: Language structure; Mental representation; Predictability; Grammar; Emotion; Financial information

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