Forecasting stock price movements with tweet sentiment, volume and interaction level

• Main Authors: Gew, Grace Jie Yan, Sim, Pei Yi, Tong, De Fang
• Other Authors: Leong Kaiwen
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2020
• Subjects: Social sciences::Economic development
• Online Access: https://hdl.handle.net/10356/138789
• Institution: Nanyang Technological University

The desire to understand how stock prices move in the financial markets has led many investors to seek various ways of increasing the quantity and quality of information they obtain. There are many factors affecting the movement of stock prices, but public sentiments from Twitter have been a popular...