Building a word vector from scratch in Python

The principle based on which we'll build a word vector is related words will have similar words surrounding them.

For example: the words queen and princess will have similar words (related to a kingdom) around them more frequently. In a way, the context (surrounding words) of these words would be similar.

Getting ready

Our dataset (of two sentences) looks as follows when we take the surrounding words as input and the remaining (middle) word as output:

Notice that we are using the middle word as output and the remaining words as input. A vectorized form of this input and output looks as follows (recall the way in which we converted a sentence into a vector in the Need for...