Natural Language Processing (NLP) — Flashcards

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Natural Language Processing is a subfield of Artificial Intelligence that focuses on enabling computers to understand, interpret, and generate human language. It deals with language that can be comple…

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Human language is difficult because it is complex and ambiguous. The same word can have different meanings in different contexts, and the meaning of a sentence often depends on surrounding words and t…

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Natural Language Understanding is a subset of NLP that focuses on enabling computers to understand the meaning and intent behind human language. It includes text analysis, semantic analysis, sentiment…

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Natural Language Generation is the part of NLP that focuses on generating human-like text from structured data. It is used in tasks such as text summarization, machine translation, chatbot responses, …

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NLU focuses on understanding human language and its meaning, while NLG focuses on generating human-like text. NLU works on analysis and interpretation, whereas NLG works on creation and response gener…

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Named Entity Recognition is a process in NLP that automatically identifies and classifies named entities in text into predefined categories such as people, organizations, locations, and dates. It is a…

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An entity is a thing that is consistently referred to in text, such as a person name, organization, location, time expression, quantity, percentage, or another predefined category.

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NER works through four steps: Text Preprocessing, Entity Identification, Entity Classification, and Contextual Analysis.