Text-based sentiment analysis in finance : synthesising the existing literature and exploring future directions
Year of publication: |
2024
|
---|---|
Authors: | Todd, Andrew ; Bowden, James ; Moshfeghi, Yashar |
Published in: |
Intelligent systems in accounting, finance & management. - New York, NY [u.a.] : Wiley, ISSN 2160-0074, ZDB-ID 2379344-2. - Vol. 31.2024, 1, Art.-No. e1549, p. 1-17
|
Subject: | earnings conference calls | multimodal sentiment classifier | natural language processing | natural language understanding | sentiment analysis | text analysis | transformer architecture |
-
Reading customers' minds through textual big data : challenges, practical guidelines, and proposals
Kwon, Wooseok, (2023)
-
A topic modeling perspective on investor uncertainty
Perico Ortiz, Daniel, (2023)
-
A topic modeling perspective on investor uncertainty
Perico Ortiz, Daniel, (2023)
- More ...
-
Price discovery between Bitcoin spot markets and exchange traded products
Gemayel, Roland, (2023)
-
Economy through a lens : distortions of policy coverage in UK national newspapers
Bowden, James, (2019)
-
Bowden, James, (2018)
- More ...