In order to install all the required packages first create a python virtual environment:

python3 -m venv .env

Next, activate the virtual environment:

source .env/bin/activate

Finally install the required packages:

pip install -r requirements.txt
python -m spacy download 'de_dep_news_trf'

begin by following the first three steps in the section "before you start" at the link below: https://developers.google.com/youtube/v3/getting-started

Next follow the steps in the section "Set up your project credentials" at the link below: https://developers.google.com/youtube/v3/quickstart/python

Once you have downloaded you clients_secret.json file put move it to this folder and rename it to "secret.json"

.
├── .env
├── .git
├── .gitignore
├── input
├── output
├── pyrightconfig.json
├── README.md
├── requirements.txt
├── secret.json
├── src
└── test.py

In order to use the scraper provide it with a file that lists all the channels to be scraped:

python3 src/scraper.py [channel list]

Ex:

python3 src/scraper.py input/single.txt

The analysis tool can be run either to do the anglicism analysis using the command analyze, or to edit the scraped anglicism using the edit command.

# for analysis
python3 src/analysis.py analyze

# for editing
python3 src/analysis.py edit

edit mode loads the anglicism objects into a pandas dataframe for editing. Changes made to the words themselves or parts of speech will be saved and the morphologies will be updated accordingly. Changes made to the morphologies will not be saved.