Natural Language Processing (NLP)
ICSE · Class 12 · Artificial Intelligence
Quick revision notes for Natural Language Processing (NLP) — ICSE Class 12 Artificial Intelligence. Key concepts, formulas, and definitions for last-minute revision.
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Key Topics to Revise
1. Natural Language Processing and Its Components
- Natural Language Processing is a subfield of Artificial Intelligence.
- NLP enables computers to understand, interpret, and generate human language.
- Human language is complex and ambiguous, so NLP must handle meaning, context, and nuance.
2. Natural Language Understanding and Natural Language Generation
- NLU analyzes text to find meaning and intent.
- NLU includes Text Analysis, Semantic Analysis, Sentiment Analysis, and Intent Recognition.
- Text Analysis breaks text into words, sentences, and other parts.
3. Named Entity Recognition
- Named Entity Recognition is a process in NLP that identifies and classifies named entities in text.
- NER is also called entity identification, entity chunking, and entity extraction.
- An entity is a real-world object consistently referred to in the text.
4. Keyword Extraction
- Keyword Extraction identifies the most important words and phrases in a text document.
- Keywords capture the core themes and topics of the document.
- Keyword extraction is useful in search engines, document summarization, and information retrieval.
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