From Opinion Mining to Financial Argument Mining.
| Main Author: | |
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| Other Authors: | , |
| Format: | eBook |
| Language: | English |
| Published: |
Singapore :
Springer Singapore Pte. Limited,
2021.
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| Edition: | 1st ed. |
| Series: | SpringerBriefs in Computer Science Series
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| Subjects: | |
| Online Access: | Click to View |
Table of Contents:
- Intro
- Preface
- Contents
- 1 Introduction
- 1.1 Opinion Mining and Sentiment Analysis
- 1.2 Financial Opinion Mining
- 1.3 Why Study Financial Opinion Mining?
- 1.4 Overview of the Book
- References
- 2 Modeling Financial Opinions
- 2.1 Opinion Components
- 2.1.1 Target Entity
- 2.1.2 Market Sentiment
- 2.1.3 Opinion Holder
- 2.1.4 Publishing Time and Validity Period
- 2.1.5 Market Information
- 2.1.6 Aspect
- 2.1.7 Elementary Argumentative Units
- 2.1.8 Opinion Quality
- 2.1.9 Influence
- 2.2 Argumentation Structure in Opinions
- 2.3 Argumentation Structure Among Opinions
- 2.4 Relations Among Opinions and Target Entities
- 2.5 Summary
- References
- 3 Sources and Corpora
- 3.1 Insiders
- 3.2 Professionals
- 3.3 Social Media Users
- 3.4 Journalists
- 3.5 Summary
- References
- 4 Organizing Financial Opinions
- 4.1 Component Extraction
- 4.1.1 Target Entity and Opinion Holder
- 4.1.2 Market Sentiment and Aspect
- 4.1.3 Temporal Information
- 4.1.4 Elementary Argumentative Units
- 4.2 Relation Linking and Quality Evaluation
- 4.3 Influence Power Estimation and Implicit Information Inference
- 4.4 Summary
- References
- 5 Numerals in Financial Narratives
- 5.1 Numeral Understanding
- 5.2 Numeral Attachment
- 5.3 Improving Financial Opinion Mining via Numeral-Related Tasks
- 5.4 Summary
- References
- 6 FinTech Applications
- 6.1 Information Provision
- 6.2 Personalized Recommendation
- 6.3 Improving Employee Efficiency
- 6.4 Summary
- References
- 7 Perspectives and Conclusion
- 7.1 Future Directions
- 7.2 Conclusion
- References.