Skip to content

Latest commit

 

History

History
20 lines (13 loc) · 1.38 KB

File metadata and controls

20 lines (13 loc) · 1.38 KB

Ukraine-Conflict-Twitter-Analysis-for-Data-Mining

The main purpose of the project is to analyze the data from 🇺🇦 Ukraine Conflict Twitter Dataset for Data Mining university course.

Setting up the environment

As main evnironment for the project our team used default Anaconda environment. All required packages will be installed in Jupyter Notebook from cells. You don't need to worry about it.

Datasets

Important All datasets are stored in kaggle-like folder structure (e.g. kaggle/input/<dataset-name>). If you don't want to rewrite all datasets pathes in notebook, please, use this folder structure to keep your notebook working.

Used datasets

🇺🇦 Ukraine Conflict Twitter Dataset

Most Known Battles in Ukraine 2022

Most Known Attacks on Ukraine 2022

Geonames - All Cities with a population > 1000