Using our Luminoso proprietary algorithms (a supercharged version of latent semantic analysis), each term is given a vector in a 150-dimensional vector space, based on data from ConceptNet and the text being analyzed.

Once vectors are assigned to terms, the dot product of two unit vectors gives the cosine of the angle between them. Two vectors that are very close together will have a dot product of near 1, two vectors that are orthogonal to each other will have a dot product of 0, and two vectors that point in opposite directions will have a dot product of -1.

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