Find your most negative tweets with python and javascript using sentiment analysis.

Firstly, download your archive from twitter settings. Extract zip and open tweet.js inside data folder. Remove the array variable declaration and save it as 'tweet.json'.

Setup your gcloud account/project for advanced text translation by going through this guide and edit your project details in scripts.

Install SentimentJS
npm install sentiment

Install TextBlob
pip install -U textblob

python -m textblob.download_corpora

Check out jupyter notebook getting started, if unfamiliar.