Hands-On Deep Learning with R

Applying word embeddings to increase usable data

Extracting terms from text is a good starting point for text analysis. With the text tokens we have created so far, we can compare term frequency for different categories, which begins to tell us a story about the content that dominates a particular newsgroup. However, the term alone is just one part of the overall information we can glean from a given term. The previous plot contained people and, of course, we know what this word means, although there are multiple nuanced details connected to this term. For instance, people is a noun. It is similar to terms such as person and human and is also related to a term such as household. All of these details for people could be important but, by just ...