Let's learn about Apache Flink and sentiment analysis by building a real-time sentiment analysis streaming application for the Twitch chat.
This application is able to process live messages from a Twitch channel and determine the overall sentiment of the chat.
The project was built with the following environment:
- OS: macOS Sonoma
- Java: 11
- Flink: 1.17.2
The underlying idea of this article is: to further educate ourselves in the field of Data Engineering, we should follow our passion and grow through actual projects.
Find a problem that interests and motivates you, and try to solve it.
You find more details and a full guide in my article at: https://vojay.de/2024/03/25/flink-twitch/