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Vectors in NLP

In natural language processing, vectors are very important! They contain numerical information that indicates the magnitude of the pieces of data being represented.

The dimension, or size, of a vector can be manipulated to allow for more data to be stored in the vector. Above, three one-dimensional vectors are shown.

In Python, you can represent a vector with a NumPy array. The following creates a vector of even numbers from 2 to 10.

even_nums = np.array([2,4,6,8,10])
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