AI GlossaryNatural Language Processing (NLP)ENTRY — Natural Language Processing
[Natural Language Processing]
Natural Language Processing (NLP).
The field of AI focused on enabling computers to understand, interpret, and generate human language.
In-depth explanation
01NLP combines computational linguistics with machine learning to process text and speech. Tasks include text classification, named entity recognition, machine translation, question answering, and text generation. Modern NLP is dominated by transformer-based models like BERT and GPT that achieve remarkable performance across diverse language tasks.
Examples
02EX. 01
Chatbots
EX. 02
Translation
EX. 03
Sentiment analysis
EX. 04
Voice assistants
More in Natural Language Processing
0301BERTBidirectional Encoder Representations from Transformers, a pre-trained language model for NLP tasks.02Named Entity Recognition (NER)Identifying and classifying named entities in text into categories like person, organization, location.03Sentiment AnalysisDetermining the emotional tone or opinion expressed in text, typically positive, negative, or neutral.04TokenizationBreaking text into smaller units (tokens) such as words, subwords, or characters.05Word EmbeddingDense vector representations of words that capture semantic meaning and relationships.
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