Transforming sentiment analysis in the financial domain with ChatGPT-Reference-Cited by-同舟云学术

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Transforming sentiment analysis in the financial domain with ChatGPT

Published:2023-12 Issue: Volume:14 Page:100508
ISSN:2666-8270
Container-title:Machine Learning with Applications
language:en
Short-container-title:Machine Learning with Applications

Author:

Fatouros Georgios^ORCID,Soldatos John,Kouroumali Kalliopi,Makridis Georgios,Kyriazis Dimosthenis

Funder

Horizon Europe

Finance Authority of Maine

Publisher

Elsevier BV

Subject

General Earth and Planetary Sciences,General Environmental Science

Reference46 articles.

1. The evolution of fintech: A new post-crisis paradigm;Arner;Geological Journal of the International’l Letters,2015

2. Investor sentiment in the stock market;Baker;Journal of Economic Perspectives,2007

3. Sentiment analysis and opinion mining;Bing,2012

4. On economic evaluation of directional forecasts;Blaskowitz;International Journal of Forecasting,2011

5. Bloomberg media distribution;Bloomberg,2023

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1. Influence and predictive power of sentiment: Evidence from the lithium market;Finance Research Letters;2024-10

2. The Potential of AI in Performing Financial Sentiment Analysis for Predicting Entrepreneur Survival;Administrative Sciences;2024-09-13

3. Exploring the potential of using ChatGPT for rhetorical move-step analysis: The impact of prompt refinement, few-shot learning, and fine-tuning;Journal of English for Academic Purposes;2024-09

4. Exploring large language model for generic and robust state-of-charge estimation of Li-ion batteries: A mixed prompt learning method;Energy;2024-09

5. FNSPID: A Comprehensive Financial News Dataset in Time Series;Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2024-08-24

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