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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主要作者:	Chen, Chung-Chi (auth)
其他作者:	Huang, Hen-Hsen (auth), Chen, Hsin-Hsi (auth)
格式:	电子本书章节
语言:	英语
出版:	Springer Nature 2021
丛编:	SpringerBriefs in Computer Science
主题:	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
在线阅读:	OAPEN Library: download the publication OAPEN Library: description of the publication
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索引号:	A1234.567
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From Opinion Mining to Financial Argument Mining

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