From Opinion Mining to Financial Argument Mining

Opinion mining is a prevalent research issue in many domains. In the financial domain, however, it is still in the early stages. Most of the researches on this topic only focus on the coarse-grained market sentiment analysis, i.e., 2-way classification for bullish/bearish. Thanks to the recent finan...

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Hlavní autoři:	Chen, Chung-Chi, Huang, Hen-Hsen, Chen, Hsin-Hsi
Médium:	E-kniha
Jazyk:	angličtina
Vydáno:	Singapore Springer Nature 2021 Springer Ministry of Science and Technology of Taiwan
Vydání:	1
Edice:	SpringerBriefs in Computer Science
Témata:	Algorithms & data structures Algorithms and data structures argument mining in finance Artificial intelligence Computer and Information Systems Applications Computer Applications Computer programming / software engineering Computer science Computer Technology Computing and Information Technology Data mining Data Mining and Knowledge Discovery Data Science Data Structures and Information Theory Expert systems / knowledge-based systems financial opinion mining financial technology application FinTech Information technology: general issues Information technology: general topics Information theory Natural language & machine translation Natural language and machine translation Natural Language Processing (NLP) Nonfiction numeral understanding Open Access opinion quality evaluation text mining in finance
ISBN:	9789811628818, 9811628815, 9789811628801, 9811628807
On-line přístup:	Získat plný text
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Obsah:

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