This brings us to the end of our chapter on spaCy and dependency parsing. The previous four chapters have illustrated the many powers of spaCy, and how we can harness these powers. Dependency parsing, in particular, remains very important to us as finding semantic or syntactic relationships between words within sentences can have many uses, whether it is simply identifying the most used adjectives or adverbs for a particular word or mapping custom relationships.
In the next chapters, we will move on from computational linguistics-based algorithms to information retrieval-based algorithms to conduct our text analysis. In particular, this will be topic models as well as clustering and classification algorithms.
