NLP researcher here. From a simple test, this tool is at the hobby level. The text is not interpreted semantically, because the so-called summarization is noth

NLP researcher here. From a simple test, this tool is at the hobby level. The text is not interpreted semantically, because the so-called summarization is nothing but blocks of text from the original text, copied ad-literam. It lacks any kind of rewording. My guess is that for content retrieval it employs the the most rudimentary model one can think of [1], does a plain token indexation, then chooses the blocks with the highest density of non-ordinary words. [1] http://en.wikipedia.org/wiki/Standard_Boolean_model http://en.wikipedia.org/wiki/Standard_Boolean_model