From Opinion Mining to Financial Argument Mining.

From Opinion Mining to Financial Argument Mining.

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Superior document:SpringerBriefs in Computer Science Series
:
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
Online Access:
Physical Description:1 online resource (102 pages)
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id 5006628611
ctrlnum (MiAaPQ)5006628611
(Au-PeEL)EBL6628611
(OCoLC)1256236708
collection bib_alma
record_format marc
spelling Chen, Chung-Chi.
From Opinion Mining to Financial Argument Mining.
1st ed.
Singapore : Springer Singapore Pte. Limited, 2021.
Ã2021.
1 online resource (102 pages)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
SpringerBriefs in Computer Science Series
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.
Description based on publisher supplied metadata and other sources.
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
Electronic books.
Huang, Hen-Hsen.
Chen, Hsin-Hsi.
Print version: Chen, Chung-Chi From Opinion Mining to Financial Argument Mining Singapore : Springer Singapore Pte. Limited,c2021 9789811628801
ProQuest (Firm)
https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=6628611 Click to View
language English
format eBook
author Chen, Chung-Chi.
spellingShingle Chen, Chung-Chi.
From Opinion Mining to Financial Argument Mining.
SpringerBriefs in Computer Science Series
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.
author_facet Chen, Chung-Chi.
Huang, Hen-Hsen.
Chen, Hsin-Hsi.
author_variant c c c ccc
author2 Huang, Hen-Hsen.
Chen, Hsin-Hsi.
author2_variant h h h hhh
h h c hhc
author2_role TeilnehmendeR
TeilnehmendeR
author_sort Chen, Chung-Chi.
title From Opinion Mining to Financial Argument Mining.
title_full From Opinion Mining to Financial Argument Mining.
title_fullStr From Opinion Mining to Financial Argument Mining.
title_full_unstemmed From Opinion Mining to Financial Argument Mining.
title_auth From Opinion Mining to Financial Argument Mining.
title_new From Opinion Mining to Financial Argument Mining.
title_sort from opinion mining to financial argument mining.
series SpringerBriefs in Computer Science Series
series2 SpringerBriefs in Computer Science Series
publisher Springer Singapore Pte. Limited,
publishDate 2021
physical 1 online resource (102 pages)
edition 1st ed.
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.
isbn 9789811628818
9789811628801
callnumber-first Q - Science
callnumber-subject QA - Mathematics
callnumber-label QA76
callnumber-sort QA 276.9 N38
genre Electronic books.
genre_facet Electronic books.
url https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=6628611
illustrated Not Illustrated
oclc_num 1256236708
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