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This hands-on tutorial shows you how to create a custom text classification system using JavaScript. You'll learn to automate text categorization based on patterns, streamlining tasks like feedback organization and ticket tagging.
In today’s data-driven world, making sense of large volumes of text is essential—whether you're organizing user feedback, tagging support tickets, or filtering content. That’s where custom text classification comes in. It allows you to automatically assign categories or labels to text based on patterns you define.
In this tutorial, you’ll learn how to build a simple yet powerful custom text classification system using JavaScript.
Custom text classification is the process of automatically assigning predefined labels to text data based on user-defined categories. Unlike generic classification models, it’s tailored to specific needs by training on a small set of example texts provided by the user. These examples guide the system to recognize patterns and apply the correct labels to new, unseen text.
In essence, it allows you to:
It's especially useful when off-the-shelf classifiers don’t fit your context or when you're working with domain-specific language.
1. Sign up: You first need to sign up on Eden AI and obtain your API key. This key will give you access to a wide range of AI services including Custom Text Classification.
2. Access Text Processing: Once logged in, head to the Text section of the platform to access the available tools.
3. Choose Custom Text Classification: Click on the Custom Text Classification feature.
To make HTTP requests, make sure you have the requests library installed:
Here’s a complete Python example using Eden AI’s /text/custom_classification endpoint:
This is zero-training classification, powered by large language models and guided by your custom examples.
Here’s an example of what the API might return:
Using Custom Text Classification with Eden AI API is quick and easy.
We offer a unified API for all providers: simple and standard to use, with a quick switch between providers and an access to the specific features of each provider.
Eden AI ensures a unified JSON output format across all providers through its standardization efforts. The response elements are also harmonized using Eden AI’s advanced matching algorithms.
Eden AI allows you to integrate a third-party platform, with the ability to quickly develop connectors. This enables you to take your Document Translation requests further by customizing them with specific parameters, check out our documentation.
Custom text classification is now easier than ever with Eden AI. With just a few lines of Python, you can classify text with real-world accuracy using trusted AI providers. Whether you're filtering emails or tagging feedback, Eden AI offers a simple and scalable solution that grows with your needs.
Ready to build your own classifier? Get started on Eden AI.
You can directly start building now. If you have any questions, feel free to chat with us!
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