Stock Prediction using Social Media Analysis
From REU@MU
By Scott Coyne Mentor Dr. Praveen Madiraju
Goals and Milestones
1) Complete literature survey of similar projects
2) Compile all social media and stock price info into single data-frame
3) determine sentiment of posts and classify them by value
4) create multiple machine learning models to predict stock prices and evaluate each of them
5) calculate weighted scores for users based on their influence and apply that to the model
6) create a high level architecture diagram of the system
7) produce a final project report
Progress
Week 1
- Installed and used python libraries for data manipulation
- Found API's for mining social media and stock data
- Compiled social media and stock data into single database
- Analyzed sentiment of every post to find mean sentiment of stock per day
