Notion Sentiment Analyzer

This project connects to Notion using Notion API, retrieves entries from the database defined in .env, performs sentiment (happiness) analysis for each entry, and creates a diagram of sentiment over time, using NOTION_DATE_FIELD field.

Installation

Before running the project, you need to install the required Python libraries. You can do this by running the following command:

pip install -r requirements.txt

Setup

Get Notion API Token

• Create a new integration in your Notion account.
• Give your integration a name and select the workspace you want to use it in.
• Once your integration is created, you will be given a secret value. This is your NOTION_TOKEN.
• Copy this value to NOTION_TOKEN environment variable in .env file.

Get Notion Database ID

• Open the database in Notion and click the "Share" button in the top-right corner.
• In the "Invite people" dialog that appears, click the "Copy link" button to copy the URL to your clipboard.
• Paste the URL into your web browser and navigate to the database.
• The NOTION_DATABASE_ID is the string of characters that appears in the URL after https://www.notion.so/
• Add REDIS_* ENVs for caching.

Get OpenAI API Key

• If you're using "gpt4" analyzer type, add OPENAI_API_KEY to .env file.

Usage (Docker Compose)

By default, Docker runs the analyzer with NLTK model. To change that, update docker-compose.yml file.

docker-compose up

Usage (local)

python analyzer.py

python analyzer.py -m gpt4

Result

The resulting heatmap is in output/ folder.

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

License

MIT