Learning-based stock trending prediction by incorporating technical indicators and social media sentiment

• Main Authors: WANG, Zhaoxia, HU, Zhenda, LI, Fang, HO, Seng-Beng, CAMBRIA, Erik
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2023
• Subjects: Deep learning; Machine learning; Social media sentiment analysis; Stock market trending; Technical indicators; Artificial Intelligence and Robotics; Finance and Financial Management; Numerical Analysis and Scientific Computing; Social Media
• Online Access: https://ink.library.smu.edu.sg/sis_research/7805; https://ink.library.smu.edu.sg/context/sis_research/article/8808/viewcontent/Stock_Trending_Prediction__Submitted_version.pdf
• Institution: Singapore Management University

Stock trending prediction is a challenging task due to its dynamic and nonlinear characteristics. With the development of social platform and artificial intelligence (AI), incorporating timely news and social media information into stock trending models becomes possible. However, most of the existin...