Stock Price Trend Prediction using Emotion Analysis of Financial Headlines with Distilled LLM Model-Reference-Cited by-同舟云学术

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Stock Price Trend Prediction using Emotion Analysis of Financial Headlines with Distilled LLM Model

Published:2024-06-26 Issue: Volume: Page:67-73
ISSN:
Container-title:Proceedings of the 17th International Conference on PErvasive Technologies Related to Assistive Environments
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Author:

Bhat Rithesh¹^ORCID,Jain Bhanu¹^ORCID

Affiliation:

1. Computer Science, University of Texas At Arlington, United States

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3652037.3652076

Reference15 articles.

1. Miguel Aenlle. 2023. Daily Financial News for 6000+ Stocks. Available at https://www.kaggle.com/datasets/miguelaenlle/massive-stock-news-analysis-db-for-nlpbacktests.

2. Twitter mood predicts the stock market

3. Shih-Chieh Dai, Aiping Xiong, and Lun-Wei Ku. 2023. LLM-in-the-loop: Leveraging large language model for thematic analysis. arXiv preprint arXiv:2310.15100 (2023).

4. Thomas Delcey. 2019. Samuelson vs Fama on the efficient market hypothesis: The point of view of expertise. Œconomia. History, Methodology, Philosophy9-1 (2019), 37–58.

5. Yingqiang Ge, Wenyue Hua, Jianchao Ji, Juntao Tan, Shuyuan Xu, and Yongfeng Zhang. 2023. Openagi: When llm meets domain experts. arXiv preprint arXiv:2304.04370 (2023).

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1. A review of sentiment analysis: tasks, applications, and deep learning techniques;International Journal of Data Science and Analytics;2024-07-01

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