Cosine Dot Product
==================

.. math ::
   \vec A . \vec B = AB \cos \theta \\
   \cos \theta = \frac{\vec A . \vec B}{A.B} 

Words are classified as vectors in this case. Similar words are given
similar but unique vector quantity, such that only equal phrases can
have the common cosine dot product. This vector model was downloaded
from the universal ``nltk.wordnet`` is a collection of word and their
classification

This complex collection of details helped to club similar nouns and
verbs together and provide customised answers, reduce training data and
increasing program logic. Therefore, each data was not to be separately
forced to the sugaroid bot to understand and learn but also learn the
phrases of message input by itself and store it in the SQL Database for
future reference

Cosine Dot product can be accessed within sugaroid by
``sugaroid.brain.postprocessors.cosine_similarity``