https://github.com/tcd93/sentimental
AWS data pipeline to analyze "sentiment" of public internet about a topic
https://github.com/tcd93/sentimental
Last synced: about 1 year ago
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AWS data pipeline to analyze "sentiment" of public internet about a topic
- Host: GitHub
- URL: https://github.com/tcd93/sentimental
- Owner: tcd93
- Created: 2025-03-12T09:56:20.000Z (over 1 year ago)
- Default Branch: master
- Last Pushed: 2025-05-01T15:32:26.000Z (about 1 year ago)
- Last Synced: 2025-05-01T16:27:49.513Z (about 1 year ago)
- Language: Python
- Size: 75.4 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README
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README
# Introduction
This project is a sentiment analysis data pipeline for Reddit and Steam games.
Runs twice a day and the final data stored in `sentiment` table of `sentimental` database (see Glue Catalog).
# Deployment
1. Create the Iceberg tables before hand:
```python
cd ./sentiment_getter/scripts && python create_iceberg_table.py
```
2. Create `sampconfig.toml` from the `samconfig.toml.example`
3. Deploy the SAM template:
```bash
sam build
sam deploy
```