Go Sentiment Analysis
Components
Config: config module based in JSON (enter twitter credentials for use)
Controllers: handle the API db call/logic for fetching tweets + scores
Data Pipelines: orchestrate/run sentiment analysis and tweet crawl
Models: DB Models (not of much use since transitioning to MongoDB)
Processors: Functions available for use in the data pipeilines
Architecture
There are two main pieces of architecture
- API
- Sentiment Analysis/Data Uploader
To run the API (on port :8080):
go run main.go
To run the content fetching and sentiment analysis pipeline:
go run data-pielines/orchestrator.go
