We’re back this month with another big AlchemyAPI service update!  This release includes a number of under-the-hood enhancements that further enhance the performance and usability of AlchemyAPI.  Also now available, a significant new text analysis capability:

Automated ‘Concept’ Tagging / Phrase Extraction

Concept tagging is a text analysis technology that works in conjunction AlchemyAPI’s Named Entity Recognition (NER) capability, to discover tags, phrases, and specific terminology that relate to the “about-ness” of a piece of content.

This new tagging capability is the result of months of behind-the-scenes engineering effort, and employs some relatively sophisticated statistical analysis and language modeling techniques.

Our new tagging system also works in 8 different languages, more languages than any other automated tagging service, commercial or otherwise.  Feel free to push English, French, German, Russian, Italian, Spanish, Portuguese, or Swedish content through the system.

So what kind of tags can this system extract?  Here’s an example:

Article: “NASA celebrates Chandra X-Ray Observatory’s 10th anniversary”

Extracted Tags / Phrases: chandra x-ray image, chandra data, chandra project, hubble space telescope, science mission directorate, nasa headquarters, space shuttle columbia, dark matter, …

It’s worth noting that our Concept Tagging system is robust when processing specialized content (such as scientific publications) as well as more general content (news & blogs).

To try an interactive demo of Concept Tagging, click here.