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)
Outros autores:	Huang, Hen-Hsen (auth), Chen, Hsin-Hsi (auth)
Formato:	Electrónico Capítulo de libro
Idioma:	inglés
Publicado:	Springer Nature 2021
Series:	SpringerBriefs in Computer Science
Subjects:	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
Acceso en liña:	OAPEN Library: download the publication OAPEN Library: description of the publication
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From Opinion Mining to Financial Argument Mining por Chen, Chung-Chi, Huang, Hen-Hsen, Chen, Hsin-Hsi

Publicado 2021

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

Publicado 2021

DOAB: download the publication
DOAB: description of the publication

Electrónico Capítulo de libro

From Opinion Mining to Financial Argument Mining

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

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

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