At the top of each mountain of data lies a nugget of invaluable knowledge, but it takes an incredibly powerful tool to bring that mountain to its knees. That's precisely what our Text Analysis API does.
Behind the scenes lies a complex engineering feat, but what you're left with is simple knowledge extracted from a given text: article summary, entity extraction, even sentiment analysis. The Text Analysis API is a tool as impressive in its power as it is in its precision.
AYLIEN Text API is a package of Natural Language Processing, Information Retrieval and Machine Learning tools for extracting meaning and insight from textual and visual content with ease.
The first step in understanding a document is to strip it of unnecessary elements. Article Extraction strips HTML documents of ads, navigation elements, and anything that gets in the way of understanding the text.
Why use 100 words when 10 will do? Summarization extracts key sentences from a text, leaving only the most important concepts.
Proper categorization is critical to any information-based endeavor, because a text is only valuable if its audience can find it. Classification tags a text with metadata from up to 500 categories.
Because a text includes more than just concepts, Entity Extraction lists organizations, phone numbers, currency amounts, even individuals mentioned in a text.
Concept Extraction takes Entity Extraction to new heights, providing Linked Data for topics mentioned, including semantic types and URIs.
Text is more than a string of entities and topics. Sentiment Analysis summarizes the tone of a text, whether it's positive or negative, subjective or objective.
We've had common use-cases in mind when designing and developing the API, so whether you're a developer creating a news app or a legal firm trying to organize legal documents (such as patents), you should be able to take benefit from using our Text API.
Having said that, it's worth mentioning that our API is slightly geared towards analyzing news and Social Media content.
Getting started with the Text API is simple, all you need to do is:
You're in the right place (almost!). Please proceed to the API Documentation page.