A full stack ML pipeline feeding an analytical dashboard which gives companies insight regarding the negative sentiment posted on tweets.
Our solution gives companies a comprehensive platform to understand in real-time whenever negative sentiments towards the company arise on social media, specifically Twitter. Our solution allows companies to understand where the bad comments come from and the topics they are related to. The visualization of this data is an effective tool for companies to improve their products and services and reduce consumer negative publicity on social media.
- Python3.8
- AWS SageMaker
- AWS S3
- kafka
- ksqlDB
- AWS Quicksight
- Twitter API
- Docker
