Vai al contenuto principale della pagina

From Opinion Mining to Financial Argument Mining



(Visualizza in formato marc)    (Visualizza in BIBFRAME)

Autore: Chen Chung-Chi Visualizza persona
Titolo: From Opinion Mining to Financial Argument Mining Visualizza cluster
Pubblicazione: Springer Nature, 2021
Singapore : , : Springer Singapore Pte. Limited, , 2021
©2021
Descrizione fisica: 1 online resource (102 pages)
Soggetto topico: Natural language & machine translation
Data mining
Algorithms & data structures
Artificial intelligence
Information technology: general issues
Soggetto non controllato: Natural Language Processing (NLP)
Data Mining and Knowledge Discovery
Data Structures and Information Theory
Artificial Intelligence
Computer Applications
Data Science
Computer and Information Systems Applications
Open Access
financial opinion mining
text mining in finance
financial technology application
FinTech
argument mining in finance
opinion quality evaluation
numeral understanding
Natural language & machine translation
Data mining
Expert systems / knowledge-based systems
Algorithms & data structures
Information theory
Information technology: general issues
Altri autori: HuangHen-Hsen  
ChenHsin-Hsi  
Sommario/riassunto: 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 financial technology (FinTech) development, some interdisciplinary researchers start to involve in the in-depth analysis of investors' opinions. These works indicate the trend toward fine-grained opinion mining in the financial domain. When expressing opinions in finance, terms like bullish/bearish often spring to mind. However, the market sentiment of the financial instrument is just one type of opinion in the financial industry. Like other industries such as manufacturing and textiles, the financial industry also has a large number of products. Financial services are also a major business for many financial companies, especially in the context of the recent FinTech trend. For instance, many commercial banks focus on loans and credit cards. Although there are a variety of issues that could be explored in the financial domain, most researchers in the AI and NLP communities only focus on the market sentiment of the stock or foreign exchange. This open access book addresses several research issues that can broaden the research topics in the AI community. It also provides an overview of the status quo in fine-grained financial opinion mining to offer insights into the futures goals. For a better understanding of the past and the current research, it also discusses the components of financial opinions one-by-one with the related works and highlights some possible research avenues, providing a research agenda with both micro- and macro-views toward financial opinions.
Titolo autorizzato: From Opinion Mining to Financial Argument Mining  Visualizza cluster
ISBN: 981-16-2881-5
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 996464443103316
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Serie: SpringerBriefs in Computer Science