From Opinion Mining to Financial Argument Mining.

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Bibliographic Details
Superior document:SpringerBriefs in Computer Science Series
:
TeilnehmendeR:
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
Online Access:
Physical Description:1 online resource (102 pages)
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245 1 0 |a From Opinion Mining to Financial Argument Mining. 
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505 0 |a 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. 
588 |a Description based on publisher supplied metadata and other sources. 
590 |a Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.  
655 4 |a Electronic books. 
700 1 |a Huang, Hen-Hsen. 
700 1 |a Chen, Hsin-Hsi. 
776 0 8 |i Print version:  |a Chen, Chung-Chi  |t From Opinion Mining to Financial Argument Mining  |d Singapore : Springer Singapore Pte. Limited,c2021  |z 9789811628801 
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830 0 |a SpringerBriefs in Computer Science Series 
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