Notion NLP: A Tool to Analyze Text Themes in Notion Databases

Notion NLP: A Tool to Analyze Text Themes in Notion Databases

Tags
AI创作
AIGC
IT
Code
工具
Published
February 24, 2023
Author
Dario Zhang
Hi everyone!
 
I'm Dario, a heavy user of Notion and a fan of natural language processing (NLP). I love using Notion to organize my notes, ideas, projects and more. But sometimes I find it hard to get a quick overview of the main themes and topics in my text data. That's why I created Notion NLP, a small tool that can help you analyze the text themes in any Notion database using the Notion API.
 
Notion NLP can automatically extract key words and phrases from your text data and generate visual word cloud images and summary documents in Markdown format. You can use these outputs to get a better understanding of your text data and discover new insights. For example, you can use Notion NLP to:
  • Find out what are the most common words and topics in your notes or articles
  • Identify the main themes and categories in your research or literature review
  • Discover new keywords and ideas for your writing or content creation
  • Compare and contrast different text sources or perspectives
  • And much more!
 
Notion NLP is very easy to use. It can run on Windows and Linux platforms, and you don't need to install anything. You just need to download the compressed package for Windows from here and unzip it. Then you can double-click on English.bat (or Chinese.bat if you want to analyze Chinese text) and follow the instructions on the screen.
 
You will need to enter your Notion API key (you can find it here) and the URL of the database you want to analyze. Then you can choose whether you want to generate a word cloud image, a summary document or both. The outputs will be saved in the same folder as the tool.
 
Here are some examples of what Notion NLP can do:
 
notion image
 
This is a word cloud image for a database of book summaries that I created using Notion NLP. You can see that some of the most frequent words are "book", "author", "story", "life" and "people". This gives me an idea of what kind of books I like to read and summarize.
 
 
This is a summary document for the same database of book summaries that I created using Notion NLP. It contains a list of all the titles and authors of the books in the database, followed by a brief summary of each book based on its keywords. This helps me review what I have read and learned from each book.
 
I hope you find Notion NLP useful for your own purposes. I would love to hear your feedback and suggestions on how I can improve it. You can contact me by replying to this email or by opening an issue on GitHub.
 
I also want to share this tool with more people who use Notion, but I don't know many people who do. Do you know any online communities or platforms where I can share it? If so, please let me know in your reply.
 
Thank you for reading this blog post! Happy analyzing!