Yahoo! Content Analysis Technology Open to all Developers; Deprecation of Y! Term Extraction API Announced

Yahoo! Opens Content Analysis Technology to all Developers, supports US English and Chinese languages for entity detection and ranking. Classification supports only English and more languages will be added gradually, announced Yahoo.Yahoo notes the "new service replaces the current Term Extraction Service, which is expected to end on March 31, 2012." Term Extraction has been […]

Yahoo! Content Analysis Technology OpensYahoo! Opens Content Analysis Technology to all Developers, supports US English and Chinese languages for entity detection and ranking. Classification supports only English and more languages will be added gradually, announced Yahoo.

Yahoo notes the "new service replaces the current Term Extraction Service, which is expected to end on March 31, 2012." Term Extraction has been a part of YDN since 2006 and we are glad so many developers have found it useful over that time.

Adding, "We'll 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," yahoo said.

"First, we will close access to the API in favor of access through YQL. We encourage all existing users of Term Extraction to migrate to YQL requests. If you are already using the Term Extraction API via YQL, you don't need to do anything," informs Yahoo.

"The newly launched Y! Content Analysis 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,".

"On top of entity extraction and ranking, developers need to know whether key terms correspond to objects with existing rich metadata. Having this entity/object connection allows for the creation of highly engaging user experiences. The Y! Content Analysis output provides related Wikipedia IDs for key terms when they can be confidently identified. This enables interoperability with linked data on the semantic Web," explains Yahoo.

Finally, "sometimes you're interested in the whole document in addition to its key terms. We provide classification for your content as well. We'll map your content or URL to our deep and descriptive taxonomy," added Yahoo.

You can try Yahoo! Content Analysis here.