 This paper presents a novel approach to stock price prediction using deep learning techniques. The proposed method combines traditional financial indices with social media text features to create a more accurate prediction model. The result shows that the proposed method outperforms other benchmark models in terms of accuracy and thus provides a promising solution for stock price prediction. This article was authored by Xi'an Ji, Ji'an Wang, and Ji Jinyan.