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Agent AI for Finance
Chung-Chi Chen, Hiroya Takamura (Broschiert, Englisch)
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Beschreibung
This open access book provides an overview of the current state of financial argument mining and financial text generation, and presents the authors’ thoughts on the blueprint for NLP in finance in the agent AI era. Financial documents contain numerous causal inferences and subjective opinions. In a previous book, “From Opinion Mining to Financial Argument Mining” (Springer, 2021), the first… author discussed understanding financial documents in a fine-grained manner, particularly those containing opinions. The book highlighted several future directions, such as financial argument mining, multimodal opinion understanding, and analysis generation, and anticipated a lengthy journey for these topics. However, since 2022, ChatGPT and large language models (LLMs) have shown promising advancements, motivating the authors to write this second book on the topic of financial Natural Language Processing (NLP). Agent-based AI systems have been widely discussed since the advent of LLMs. This book aims to equip researchers and practitioners with the latest methodologies, concepts, and frameworks for developing, deploying, and evaluating AI agents with capabilities in multimodal understanding, decision-making, and interaction. It places a special emphasis on human-centered decision-making and multi-agent cooperation in financial applications. The book surveys the current landscape and discuss future research and development directions. Targeting a wide audience, from students to seasoned researchers in AI and finance, this book offers an overview of recent trends in Agent AI for finance. It provides a foundation for students to understand the field and design their research direction, while inviting experienced researchers to engage in discussions on open research questions informed by pilot experimental results. Although this book focuses on financial applications, the discussed concepts and methods can also be applied to other real-world applications by integrating domain-specific characteristics. The authors look forward to seeing new findings and more novel extensions based on the proposed ideas. 32,09 €
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Technische Daten
Erscheinungsdatum
17.07.2025
Sprache
Englisch
EAN
9783031946868
Herausgeber
Springer International Publishing
Serien- oder Bandtitel
SpringerBriefs in Intelligent Systems
Sonderedition
Nein
Autor
Chung-Chi Chen, Hiroya Takamura
Seitenanzahl
83
Einbandart
Broschiert
Buch Untertitel
From Financial Argument Mining to Agent-Based Modeling
Schlagwörter
Open Access, Financial Argument Mining, Agent AI, Opinion Mining, Agent-Based Modeling, Retrieval-Augmented Generation, Multi-Agent Interaction, Data Augmentation, Generative AI, Opinion Ranking, Argument Mining, Argument Quality, Text Mining, FinTech, Numeracy
Thema-Inhalt
UYQ - Künstliche Intelligenz
UYQM - Maschinelles Lernen
KJQ - Wirtschaftsmathematik und -informatik, IT-Management
UYQL - Natürliche Sprachen und maschinelle Übersetzung
Höhe
235 mm
Breite
15.5 cm
Hersteller: Springer, Europaplatz 3, Heidelberg, Deutschland, 69115, ProductSafety@springernature.com, Springer Nature Customer Service Center GmbH
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