15. Natural Language Processing (NLP) - CBSE 11 AI (Artificial Intelligence)

Sections

36 sections

About this chapter

Natural Language Processing (NLP) is a vital subfield of Artificial Intelligence that enables interaction between computers and humans using natural language. It consists of two primary components: Natural Language Understanding (NLU), which involves comprehending language, and Natural Language Generation (NLG), which converts data into human language. Despite its applications in areas like chatbots and sentiment analysis, NLP faces challenges such as ambiguity and sarcasm, necessitating the use of libraries like NLTK and spaCy to aid implementation.

Learning objectives

Natural Language Processing enables machines to understand and generate human language.
NLP consists of two components: Natural Language Understanding and Natural Language Generation.
The processing of natural language involves preprocessing techniques, feature extraction, and modeling.

Key concepts

Natural Language Understanding (NLU)

Focuses on the comprehension of language input by the machine.

Natural Language Generation (NLG)

Converts structured data into coherent human language output.

Text Preprocessing

Cleaning and preparing text data, including tokenization and stop word removal.

Feature Extraction

Converts text into numeric features to be fed into machine learning models.

Sentiment Analysis

Analyzes emotions or opinion polarity in a text.

Chapter exercises

2+ questions

Total Questions

2

Estimated Time

4 min

Passing Score

70%

Instructions

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