Yahoo! Opens Content Analysis Technology to all Developers
From the post:
As the premier digital media company, Yahoo! publishes tons of content every day. In addition to publishing it, we do a lot of work behind the scenes to analyze and understand that content in a scalable and algorithmic way. Today we’re pleased to open up our content analysis technology to the world to help developers build their own fantastic experiences for their sites and users.
The newly launched Yahoo! Content Analysis service replaces Yahoo!’s popular Term Extraction service and now provides advanced content analysis on either text or a URL, leverages Yahoo!’s state of the art machine-learned ranking (MLR) technology to extract key terms from the content, and, more importantly, to rank them based on their overall importance to the content. The output you receive contains the keywords and their ranks along with other actionable metadata.
Our new service replaces the current Term Extraction Service, which is expected to end on March 31, 2012. We will continue to support the Term Extraction requests, but calls must be directed to our YQL table since we’ll be shutting down the non-YQL service. More details can be found on today’s YDN blog post.
The new features and MLR are supported only in the new request format. Give it a try today!
A very good demonstration of a post I am working on called: Metadata Without Markup (or not much). The premise is that a little intelligence on the front-end can yield a harvest of useful metadata on the backend, with little effort from users.
Which, to be honest, has been the sticking point of most semantic technologies. If you think programmers are lazy, you haven’t seen many users. 😉