These are the files for my Capstone Project in Ryerson University's Big Data Analytics certificate program.

The project attempts to classify sentiment in images. The model I am building will define image sentiment of Twitter images based on the text that is posted accompanying those images. That model will be tested against fresh Twitter data and against images whose sentiment has been determined by crowd-sourcing.

Documents submitted as part of the evaluation process are located in the Submissions folder of this repo.

• Abstract - Initial Abstract
• Literature Review and Methodology - Initial review of related literature and details of project methodology

• Submissions - Documents submitted for evaluation
• Python_code - Python code used in project
• R_code - R code used in project (Currently empty)
• SQL_code - SQL code used in project

The most up-to-date details on the specific project methodology and code execution can be found in the code_step_by_step.txt file.

Please direct any questions or comments to chgraham@gmail.com