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What Is NLP?
NLP enables computers to understand, interpret, and generate human language.
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AiTechWorlds
AiTechWorlds
Natural Language Processing (NLP) is the branch of AI that helps machines understand and generate human language. This visual guide covers tokenization, embeddings, sentiment analysis, named entity recognition, machine translation, and the transformers behind modern NLP.
NLP enables computers to understand, interpret, and generate human language.
Search, autocomplete, translation, spam filters, and chatbots all use NLP.
Tokenization splits text into smaller units like words or word-pieces.
Removing noise and normalizing text improves NLP results.
Embeddings turn words into vectors that capture meaning and similarity.
Bag of words counts words; embeddings understand context and meaning.
Models detect whether text is positive, negative, or neutral.
NER finds names, places, dates, and organizations in text.
Sorting text into categories like spam or topic labels.
NLP translates text between languages automatically.
Models extract or generate answers from text given a question.
NLP condenses long documents into short summaries.
Models predict the next word to generate fluent text.
Attention lets models focus on the most relevant words in context.
Transformers process whole sentences in parallel, powering modern NLP.
The same word means different things depending on context.
Modern models handle many languages in one system.
Sarcasm, ambiguity, slang, and bias make language hard.
LLMs are large NLP models that generalize across many language tasks.
More accurate, multilingual, and reasoning-capable language systems.
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