From Opinion Mining to Financial Argument Mining.

• Superior document: SpringerBriefs in Computer Science Series
• Author: Chen, Chung-Chi.
• TeilnehmendeR: Huang, Hen-Hsen.; Chen, Hsin-Hsi.
• Place / Publishing House: Singapore : : Springer Singapore Pte. Limited,, 2021.; Ã2021.
• Year of Publication: 2021
• Edition: 1st ed.
• Language: English
• Series: SpringerBriefs in Computer Science Series
• Physical Description: 1 online resource (102 pages)

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.