4 Information extraction
This chapter covers
- Extracting information from raw text
- Exploring useful NLP techniques, such as part-of-speech tagging, lemmatization, and parsing
- Building a language-processing pipeline with spaCy
In the previous chapter, you looked into ways of finding texts that talk about particular concepts or facts. You’ve built an information-retrieval system that can search for texts answering particular questions. For example, if you were wondering what information science is or what methods information-retrieval systems use, you needed to provide your information-retrieval system with the queries like “What is information science?” or “What methods do information-retrieval systems use?” and the system found for you relevant ...
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