Research Article
The Influence of Quality Information on Stock Performance: A Sentiment Analysis from Online Review
@INPROCEEDINGS{10.4108/eai.29-3-2024.2347418, author={Huiming Liu and Su Wu and Chongwen Zhong and Ying Liu}, title={The Influence of Quality Information on Stock Performance: A Sentiment Analysis from Online Review}, proceedings={Proceedings of the 3rd International Conference on Bigdata Blockchain and Economy Management, ICBBEM 2024, March 29--31, 2024, Wuhan, China}, publisher={EAI}, proceedings_a={ICBBEM}, year={2024}, month={6}, keywords={sentiment analysis; customer online review; reinforcement learning}, doi={10.4108/eai.29-3-2024.2347418} }
- Huiming Liu
Su Wu
Chongwen Zhong
Ying Liu
Year: 2024
The Influence of Quality Information on Stock Performance: A Sentiment Analysis from Online Review
ICBBEM
EAI
DOI: 10.4108/eai.29-3-2024.2347418
Abstract
Companies’ stock performance could be affected by various factors like breaking news or annual report. We consider that products’ quality could also be a crucial factor that influence the stock performance. In this study, the quality characteristics are extracted from the customer online review to measure the products’ quality level. We use reinforcement learning models to show that quality information could improve the stock trade policies by increasing the profitability and risk of maximum drawback. The relationship between stock performance and quality level also is explored. This paper demonstrates the importance of quality information and manager could design better products by using the results of our study.
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