This project was created during the @spicedacademy boot camp. The goal of this project is to develop a dockerized data pipeline with following steps:
③ ETL Job: Extracting the tweets from MongoDB, performing a sentiment analysis of the tweets and stroing the results in a Postgres database
![](https://github.com/pavrmk/twitter_sentiment_analysis/raw/main/images/readme_file_images/structure-gray.png?raw=true)
The pipeline should look like this in the Docker Desktop:
![](https://github.com/pavrmk/twitter_sentiment_analysis/raw/main/images/readme_file_images/docker_pipeline.png?raw=true)
This is what the Postgres DB with the tweets and corresponding sentiment score could look like:
![](https://github.com/pavrmk/twitter_sentiment_analysis/raw/main/images/readme_file_images/postgres_tweets.png?raw=true)
- Finish the Slack bot and add it to the project description