Natural Language Processing (NLP)
AI branch enabling machines to understand, interpret, and generate human language.
AI branch enabling machines to understand, interpret, and generate human language.
Définition détaillée
Natural Language Processing (NLP) is an AI domain combining computational linguistics and machine learning to analyze and produce human language. NLP tasks include text classification (sentiment, topic), named entity recognition (people, places, dates), syntactic analysis, machine translation, summarization, text generation, and question answering. Transformer models (BERT, GPT, T5) revolutionized NLP by enabling contextual language understanding.
Cas d'usage
Automatic customer feedback analysis: NLP analyzes thousands of customer reviews, extracts recurring themes, detects sentiment (positive/negative), and generates a synthetic report for the product team.
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Questions fréquentes
What's the difference between NLP and LLM?
NLP is the general field. LLMs are specific models (a technology) that excel at NLP tasks. All LLMs do NLP, but not all NLP uses an LLM. BERT is an NLP model that is not an LLM.
Does NLP work as well in French as in English?
Modern models (Mistral, Llama 3, GPT-4) are multilingual and perform well in French. However, resources and benchmarks are more numerous in English.