OpenDover, tagging your documents based on sentiments and emotions
Friday, October 29th, 2010
OpenDover is a sophisticated Web service that allows you to extract the next generation semantic features within your blogs, content management systems, websites or other numerous applications.
OpenDover uses semantic technologies for sentiment tagging texts that you send to the service. Sentiment/emotion tags are returned to users for implementing in web applications, searches, blogs and so on.
On the other han, OpenDover provides a Web service that lets you tag your documents based on sentiments and emotions found in your documents. The OpenDover API can handle different ways of sentiment tagging, depending on what your needs are, or what the content is that you provide via the API.
The OpenDover knowledge base consists of thousands of opinion words, domain-related words and relations organized hierarchically. Since OpenDover is ontology-based, it can recognize the subject domains of the documents parsed via the API.
They also provide a live demo at http://demo.opendover.nl/.

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