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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Detaylı Bibliyografya
Yazar:	Chen, Chung-Chi (auth)
Diğer Yazarlar:	Huang, Hen-Hsen (auth), Chen, Hsin-Hsi (auth)
Materyal Türü:	Elektronik Kitap Bölümü
Dil:	İngilizce
Baskı/Yayın Bilgisi:	Springer Nature 2021
Seri Bilgileri:	SpringerBriefs in Computer Science
Konular:	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
Online Erişim:	DOAB: download the publication DOAB: description of the publication
Etiketler:	Etiketle Etiket eklenmemiş, İlk siz ekleyin!

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

Baskı/Yayın Bilgisi 2021

Link to Metadata

Elektronik Ekitap

From Opinion Mining to Financial Argument Mining Yazar: Chen, Chung-Chi

Baskı/Yayın Bilgisi 2021

OAPEN Library: download the publication
OAPEN Library: description of the publication

Elektronik Kitap Bölümü

From Opinion Mining to Financial Argument Mining

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

From Opinion Mining to Financial Argument Mining Yazar: Chen, Chung-Chi

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