Zobrazeno 1 - 2
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pro vyhledávání: '"Mehdi Yekrangi"'
Autor:
Mehdi Yekrangi, Nikola S. Nikolov
Publikováno v:
IEEE Access, Vol 11, Pp 70248-70262 (2023)
Although different studies are caried out by deep learning models for financial markets sentiment analysis, there is a lack of specific embedding method that regards the domain. Therefore, the goal of this study is to discover what type of embedding
Externí odkaz:
https://doaj.org/article/01558a9acac24bcda1a89f8bf1ff3b2f
Autor:
Neda Abdolvand, Mehdi Yekrangi
Publikováno v:
Journal of Intelligent Information Systems. 57:127-146
Natural language processing in specific domains such as financial markets requires the knowledge of domain ontology. Therefore, developing a domain-specific lexicon to improve financial context sentiment analysis is noteworthy. In this paper, by expl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::825985c58937d6d1f4e0a8354cc61945
https://doi.org/10.1007/s10844-020-00630-9
https://doi.org/10.1007/s10844-020-00630-9