Welcome to the OpenDover Developer Network!

OpenDover is the leading webservice 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.

At the moment the following domains are supported:

Features at a glance: 

• Add sentiment tags to your content in minutes
• Java-based webservice for cross-platform compatibility
• Powerful servers ensuring fast return of semantic content

• Unique knowledge base of opinion words, domain-related words and intensifiers extracted from hundreds of thousands of opinion-related texts;
• Diverse expression of opinion words/phrases: adjectives, nouns, verbs (both explicit and implicit);
• Automatic recognition of context dependent and context independent opinion words;
• Automatic disambiguation of opinion and domain-related words;
• Representation of opinion and domain-related words in their relationship (i.e. “part of”, “kind of”, “association”);
• Automatic recognition and categorization of texts;
• Evaluation of an arbitrary text according to the recognized domains in the text.

Because OpenDover uses an ontology-based approach, the API ensures high accuracy, flexibility for customization and future diverse applications dealing with opinions and reviews

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