We have previously talked about vectors a lot throughout the book – they are used to understand and represent our textual data in a mathematical form, and the basis of all the machine learning methods we use rely on these representations. We will be taking this one step further, and use machine learning techniques to generate vector representations of words that better encapsulate the meaning of a word. This technique is generally referred to as word embeddings, and Word2Vec and Doc2Vec are two popular variations of these.
- Word2Vec
- Doc2Vec
- Other word embeddings
