How to identify topics in text content with Python?

How to identify topics in text content with Python?

In this tutorial, you will learn how to use Topic Extraction API in 5 minutes using Python and Eden AI Text Moderation API. Eden AI provides an easy and developer-friendly API that allows you to identify topics in text content.

What is Topic Extraction?

Topic Extractoion API allows users to extract topics or key themes from a given text or document. These APIs are designed to analyze the content and identify the main subjects or topics discussed within the text. By leveraging natural language processing (NLP) techniques, such as machine learning algorithms and linguistic analysis, the API can identify and extract relevant topics from various types of textual data, including articles, blog posts, social media updates, customer reviews, and more.

Topic Extraction result on Eden AI

The extracted topics can then be used for various purposes, such as organizing and categorizing large volumes of text, generating tags for content recommendation systems, sentiment analysis, trend detection, content filtering, etc.

Get Started with Topic Extraction API

The first step is to install Python's requests package, that will allow you to call Eden AI API.

Next, you'll need to install Python's JSON package in order to read and print the result of the API request.

How to use Topic Extraction API with Python

You are now ready to process texts into Eden AI Topic Extraction API.

1. Get a Topic Extraction API Key on Eden AI

To perform Topic Extraction, you'll need to create an account on Eden AI for free. Then, you will be able to get your API key directly from the homepage with free credits offered by Eden AI.

Eden AI platform - Get your API key

2. Let’s identify topics in your texts

Once you have imported packages on Python and got your API key, you will be able to identify topics in text content.  You can access the list of Topic Extraction engines available on Eden AI to help you choose the provider that best suits your project and needs.

Here is the Python script you need to write in your notebook:

For example, we called two different Topic Extraction engines. Eden AI API will then return in its JSON response results of those providers.

Once the request is done, you will be able to get the result with this print:

Here is an example of a Topic Extraction API response:

Benefits of using Topic Extraction API with Eden AI

Using Topic Extraction with Eden AI API is quick and easy.

Multiple AIs in one API - Eden AI

Save time and cost

We offer a unified API for all providers: simple and standard to use, with a quick switch between providers and an access to the specificic features of each provider.

Easy to integrate

The JSON output format is the same for all suppliers thanks to Eden AI's standardisation work. The response elements are also standardised thanks to Eden AI's powerful matching algorithms.


With Eden AI you have the possibility to integrate a third party platform: we can quickly develop connectors. To go further and customize your Topic Extraction request with specific parameters, check out our documentation.

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