Topic extraction, also known as entity extraction or content taxonomy, utilizes natural language processing (NLP) techniques to identify the main ideas and concepts in text and group them into meaningful topics. This technology takes input text and provides a list of topics along with associated keywords or phrases, allowing users to extract meaningful insights.
This API is valuable for content management, sentiment analysis, trend analysis, and more. Notably, the Topic Extraction API offers instant usability, unlike Custom Text Classification, which necessitates a pre-existing dataset.
The first step is to set Axios, a promise-based HTTP client for the browser and Node.js, that will allow you to call Eden AI API.
You are now ready to process text into Eden AI Topic Extraction API. You can access the list of languages supported in our documentation here.
To perform Topic Extraction, you'll need to create an account on Eden AI for free. Then, you'll be able to get your API key directly from the homepage with free credits offered by Eden AI.
For example, we called two different Topic Extraction engines. Here is the JS code to configure the request:
Then, you'll need to launch the request and print the result:
Here is an example of a Topic Extraction API response:
Using Topic Extraction 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.
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.