spaCy is an advanced, free, open-source NLP framework and Python library. It is categorized as a purpose-built NLP framework and is generally used for processing text, performing functions like tokenization and vectorization.
spaCy includes built-in entity extraction models and is utilized in the process of custom training or fine-tuning NER models, potentially alongside advanced techniques like Conditional Random Fields. In the context of semantic parsing for search intent classification, spaCy’s dependency parsing is used to extract key semantic elements from queries, such as interrogative words, the main verb, and the direct object. It is also listed as an API example for Keyword Categorization.