The document discusses natural language processing (NLP). It provides an overview of NLP, describing how it is used by machines to understand, analyze, and interpret human language. It also discusses Python tools for NLP, like NLTK, and how they are used for various NLP tasks such as text classification and information extraction. The document then explains the NLP process, covering morphological processing techniques including tokenization, stemming, and named entity recognition. It also discusses syntactic, semantic, pragmatic and discourse analysis in NLP. Finally, it provides examples of NLP applications like virtual assistants and an enterprise case study.