SemanticHacker classifier

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Wandora's SemanticHacker classifier requests a text document and classifies it using SemanticHacker's Simplified Semantic Signature. The effect is that given text document or fragment is tagged with several tags possibly reflecting the content of the text. However, tags and tag weights provided by the SemanticHacker should be considered as an entity signature of the text. This is little different perspective compared to OpenCalais for example.

SemanticHacker classifier requires valid api token from SemanticHacker. You can apply your token here.

SemanticHacker classification example

SemanticHacker classifier starts with menu option File > Extract > SemanticHacker classifier.... Let's try to classify WandoraWiki's first text chapter.


Semantichacker dialog.gif


Before classification Wandora requests SemanticHacker api key used to access the web api. Wandora does not store the key between use sessions.


Semantichacker example.gif
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