Natural Language Processing

Natural Language Processing (NLP)

AI Terms

Natural Language Processing (NLP)

Definition: Natural Language Processing (NLP) is a field of artificial intelligence that deals with the interaction between computers and human (natural) languages.

Detailed Description:

NLP techniques are used to analyze, understand, and generate human language. Tasks in NLP include:

Text classification: Categorizing text into different categories (e.g., spam or not spam, positive or negative sentiment)
Machine translation: Translating text from one language to another
Named entity recognition: Identifying named entities such as people, organizations, and locations
Text summarization: Summarizing a long text into a shorter version
Question answering: Answering questions based on a given text

NLP techniques often involve machine learning models, such as recurrent neural networks (RNNs) and transformer models.

Related Terms:

Artificial Intelligence
Machine Learning
Text Mining
Computational Linguistics
Language Models

FAQs:

What is the difference between NLP and natural language understanding (NLU)?
- NLU is a subset of NLP that focuses on understanding the meaning and intent behind language.
How is NLP used in chatbots?
- Chatbots use NLP to understand user input and generate appropriate responses.
What are some challenges in NLP?
- Challenges include ambiguity, context understanding, and handling different languages and dialects.

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