tring ( sentence) created in the previous step in a multi-dimensional semantic space ( created using the semantic vectors library - see http://code.google.com/p/semanticvectors/), containing 1027355 wikipedia docs, creating this way a document representing that string in that semantic space.</p>
<p>3) calculates the cosines similarity between the document created in the previous step and all 1027355 wikipedia articles, returning the 10( default value) most similar docs to the query document.</p>
<p>4) creat