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...

Szczegółowa specyfikacja

Zapisane w:
Opis bibliograficzny
Wydane w:SpringerBriefs in Computer Science
Główni autorzy: Chen, Chung-Chi, Huang, Hen-Hsen, Chen, Hsin-Hsi
Format: Livro
Język:Inglês
Wydane: Springer Nature 2021
Hasła przedmiotowe:
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
thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQL Natural language and machine translation
thema EDItEUR::U Computing and Information Technology::UN Databases::UNF Data mining
thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMB Algorithms and data structures
thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence
thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics
Dostęp online:https://directory.doabooks.org/handle/20.500.12854/70780
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