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Natural Language Processing (NLP) — Syllabus

ICSE · Class 12 · Artificial Intelligence

What Natural Language Processing (NLP) covers in ICSE Class 12 Artificial Intelligence: 4 topics, for the 2026-27 session.

70 questions30 flashcards5 concepts

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4 Topics · ICSE Class 12 Artificial Intelligence · 2026-27

Topics in Natural Language Processing (NLP)

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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.
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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.
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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.
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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.

Key Concepts

Central concept: Natural Language Processing (NLP)

Definition of NLPNatural Language UnderstandingNatural Language GenerationNamed Entity RecognitionKeyword ExtractionText SummarizationExtractive SummarizationAbstractive Summarization

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Frequently Asked Questions

What are the important topics in Natural Language Processing (NLP) for ICSE Class 12 Artificial Intelligence?
Key topics in Natural Language Processing (NLP) include Natural Language Processing and Its Components, Natural Language Understanding and Natural Language Generation, Named Entity Recognition, Keyword Extraction. Study these first, then practise questions on each for the ICSE Class 12 board exam.
How should I revise Natural Language Processing (NLP) for the ICSE Class 12 board exam?
Learn the core ideas first, then work through the 70 practice questions on Natural Language Processing (NLP). Revise definitions regularly and use flashcards for quick recall before the exam.

Sources & Official References

Content is aligned to the official syllabus. Refer to the board website for the latest curriculum.

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