/docker-compose-tweepy-sentiment-analysis

Docker - Tweepy - MongoDB - PostgresDB - Flask

Primary LanguagePython

Project-Data-Pipeline

The main goal of this project was to try out a docker-compose pipeline combined with an ETL process.

The pipeline|ETL process works as followed:

  1. Collecting tweets via tweepy
  2. Loading tweets into MongoDB
  3. Extracting data from MongoDB and running a sentiment analysis with vaderSentiment
  4. Loading data into postgresdb
  5. Writing a flask app to show my dataframe outputs as html