Discover Eden AI's Topic Extraction API (NLP) to extract meaning from text in a few seconds by identifying recurrent themes or topics. This Topic Extraction API is ideal for developers looking for a fast, reliable, and easy way to analyze main topics in documents with the power of artificial intelligence (AI).
NLP stands for natural language processing. It is a subfield of artificial intelligence (AI) and computer science that focuses on the interaction between computers and humans using natural language. This includes tasks such as topic extraction, language translation, text summarization, sentiment analysis, named entity recognition, and many others.
If you want to learn more about what NLP can offer, check out our Top 10 NLP APIs.
Also known as Entity Extraction or Taxonomy of content, Topic extraction is a natural language processing technique that automatically identifies and extracts the main topics from a piece of text.
Accordingly, a topic extraction API is a tool that allows developers to integrate topic extraction functionality into their own software applications through a set of predefined API calls.
Not to mention that topic extraction can be used instantly, unlike custom text classification which requires a dataset beforehand.
Our standardized API allows you to use various providers on Eden AI to easily integrate Topic Analysis capabilities into your system.
Some of the providers that you can use include the following (please note that more providers will be added to our catalog in the next few months, so stay tuned!) :
IBM uses deep learning to extract meaning and metadata from unstructured text data. Get underneath your data using text analytics to extract categories, classification, entities, keywords, sentiment, emotion, relations, and syntax.
As OpenAI API is all about text generation (like Chat GPT where you can tell it to do "actions"). We gave it a text and an instruction, the instruction being here: extract me the main topic/category of the text.
Google’s Natural Language for classification API can be used to quickly group your news articles, blog posts, videos, and documents into classes, and to sort your organization’s data with fast results.
Using this API bypasses traditional training methods which means, you won’t be bogged down with the modeling, hyperparameter tuning, or text-processing.
Topic extraction is important for building new applications because it allows you to automatically extract meaningful information from text data, which can be used for a variety of purposes. Some of the main reasons why topic extraction is important to include:
Topic extraction can be used to automatically classify a document into predefined categories by identifying the main topics discussed in the text.
Topic extraction can be used to improve the efficiency of information retrieval systems by identifying the main topics discussed in a document and using them to index and retrieve relevant documents.
Topic extraction can be used to extract insights from a large corpus of text by identifying and grouping related documents based on their main topics.
Topic extraction can be used to analyze customer feedback or reviews, Social media data to identify the main topics discussed and use that information to improve products or services.
Topic extraction can be used to automatically classify news articles and identify the main topics they cover to facilitate news search and navigation.
Topic extraction can be used to automatically classify and filter emails by identifying the main topics discussed and routing them to the appropriate recipient.
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.
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