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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Autor principal:	Chen, Chung-Chi (auth)
Altres autors:	Huang, Hen-Hsen (auth), Chen, Hsin-Hsi (auth)
Format:	Electrònic Capítol de llibre
Idioma:	anglès
Publicat:	Springer Nature 2021
Col·lecció:	SpringerBriefs in Computer Science
Matèries:	Natural language & machine translation Data mining Algorithms & data structures Artificial intelligence Information technology: general issues 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 Expert systems / knowledge-based systems Information theory
Accés en línia:	OAPEN Library: download the publication OAPEN Library: description of the publication
Etiquetes:	Afegir etiqueta Sense etiquetes, Sigues el primer a etiquetar aquest registre!

From Opinion Mining to Financial Argument Mining per Chen, Chung-Chi, Huang, Hen-Hsen, Chen, Hsin-Hsi

Publicat 2021

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From Opinion Mining to Financial Argument Mining per Chen, Chung-Chi

Publicat 2021

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DOAB: description of the publication

Electrònic Capítol de llibre

From Opinion Mining to Financial Argument Mining

From Opinion Mining to Financial Argument Mining per Chen, Chung-Chi, Huang, Hen-Hsen, Chen, Hsin-Hsi

From Opinion Mining to Financial Argument Mining per Chen, Chung-Chi

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