1. Define NLP and explain its role in Artificial Intelligence.
2. Describe at least four real-world applications of NLP (e.g., chatbots, sentiment analysis, speech recognition).
3. Identify and briefly explain two challenges faced in NLP implementation.
4. Discuss how NLP models like ChatGPT process and generate human-like language.

Natural Language Processing (NLP) is a key area of artificial intelligence that enables computers to understand and generate human language. Its applications include chatbots, sentiment analysis, speech recognition, and machine translation, but it also faces challenges such as ambiguity and data scarcity. NLP models like ChatGPT utilize deep learning and vast datasets to generate coherent, human-like text responses. ;

Answered by GinnyAnswer | 2025-07-08

Natural Language Processing (NLP) is an AI field focused on enabling machines to understand and generate human language, with applications including chatbots, sentiment analysis, and speech recognition. However, challenges like ambiguity and data scarcity can complicate implementation. NLP models like ChatGPT utilize deep learning to create coherent language responses by analyzing input context.
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Answered by Anonymous | 2025-07-12