A trend is starting to emerge: Advanced technologies are being made available first as cloud services that organizations can invoke easily via an API, rather than having to figure out how to deploy and master themselves. The latest example of that trend is a cloud service from AlchemyAPI that takes advantage of machine learning and computer vision technologies to allow publishers and providers of ad networks to more easily monetize content.
Many publishers struggle with too much of good thing: There’s no shortage of content for them to reuse, but actually finding a particular piece of content when they need it can be next to impossible. As a result, they wind up creating a new piece of content even though they may already own, for example, a photo of the thing they are trying to illustrate.
According to AlchemyAPI CEO Eliott Turner, the Taxonomy and Sentiment Analysis APIs that AlchemyAPI is exposing solve this problem by allowing publishers to load content around which AlchemyAPI will automatically wrap a taxonomy, and to analyze social media reaction to that content via a sentiment analysis service.
Turner says the Taxonomy and Sentiment Analysis APIs comprise the first self-service offering of its kind. The combination provides more than 1,000 defined topic categories, including parent-child relationships between topics that can be five layers deep and can also be used by publishers to define unique categories around their existing content inventory.
Based on what Turner calls deep learning technology that is based on neural net software, the AlchemyLanguage product family will in the near future also feature a new combined-call API that makes it faster for users to analyze a single text passage with multiple text analysis features. That capability will make it simpler to first process a text with higher-level taxonomy or concept calls to understand its big-picture topics, and then dive in to extract details such as its named entities, keywords and sentiment, says Turner.
There was a time when neural net software and other forms of AI technology were well beyond the reach of average developers. But as the API economy continues to evolve, it’s becoming clear that all kinds of subsets of the economy are starting to energe—not the least of which, it would appear, is an AI economy that most likely would never have existed if it were not for the APIs that actually make it run.