A group project under the course of Advanced Programming Concepts. This project is about Facebook profile analysis
@FOR RETRIEVING DATA FROM FACEBOOK, STORING AND SECURING
Version of Elnur: - Files: fbload.py - This is the most simplified version with only-one file with all neccessary functions and methods to retrieve data from FB - Includes a simplify retry control, which helps to re-connect to the server whenever there was a fail - People can easily and quickly deploy this. - Simply insert your token and run!
Version of Tien: - Files: Core.py, FileIO.py, Main.py, Run.py - The main data retrieving structures are inherited from Elnur and extending to data securing, clearer error handler and retrying controller - Everything you need is run the Run.py (this Run.py is just used to test, could be whatever the name...) - The FileIO include SHA256 and AES128 encryption and decryption methods, which you guys could implemented it separately whenever you want
@FOR DATA ANALYSIS, OUTPUTING CHARTS
Version of Jan: - Files: charts.py, Extraction.py - Includes comments and reactions extraction - Summarizing all reactions and plotting graph
Clustering: - A very first simple clustering graph with K-Means integrated (Tien) - Inherited an extract function from Jan
@FOR ONLINE TOKEN RETRIEVING
Version of George: - Files: application.py, templates (folder) - As recommended by Facebook, Access Token should be retrieved directly from them and inputted directly into functions without storing
@FOR TECHNICAL SPECIFICATION (REPORT)
There is a draft of Technical Specification docx file, please just feel free to play with it!
The following command should install almost all required libraries :
pip install flask flask_oauthlib matplotlib numpy pandas urllib json hashlib base64 bokeh==0.12.7 sklearn