The Bets Project

This Project is a collection of codes made to collect data from the YouTube, and use different tools to analyse it. ranging from simple statistics analysis to AI and Machine Learning tools. (Project still in development)

Technologies

• Python
• MongoDB
• Torch
• YouTube Data API

Features

• Code to collect data from a list of channels (Description, Data from all videos and comments)
• Connection with MongoDB to reliably store all data
• Code to collect all thumbnails from the videos

The Process

This work is a collaboration with the DMSO, a group from UNIFESP, created with the objective to study and analyse how bets advertisement worked on the YouTube platform in Brazil. So we needed tools to gather, store and analyse the data. It is called the Bets project because of its purpose, however it can be used to any theme you want, the process will be almost the same and tools will mostly work just fine.

Running the Project

1. Clone the repository
2. Install all modules
3. Create the csv files
4. Set your MongoDB Database
5. Check the arguments of each code (in their descriptions)