A Stock Price Prediction Model Based on Investor Sentiment and Optimized Deep Learning

• Published in: IEEE access Vol. 11; pp. 51353 - 51367
• Main Authors: Mu, Guangyu, Gao, Nan, Wang, Yuhan, Dai, Li
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2023; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Data mining; Data models; Deep learning; Long short term memory; LSTM model; Machine learning; Performance prediction; Prediction algorithms; Prediction models; Predictive models; Prices; Pricing; Recurrent neural networks; Search algorithms; Search methods; Sentiment analysis; sentiment dictionary; sparrow search algorithm; Stock market; stock price prediction; Support vector machines; Swarm intelligence

Accurate prediction of stock prices can reduce investment risks and increase returns. This paper combines the multi-source data affecting stock prices and applies sentiment analysis, swarm intelligence algorithm, and deep learning to build the MS-SSA-LSTM model. Firstly, we crawl the East Money foru...