Natural Language Processing (NLP)
The branch of AI focused on understanding and generating human language.
The field of AI concerned with enabling computers to understand, interpret, and generate human language. NLP combines linguistics, statistics, and deep learning to handle tasks like parsing, sentiment analysis, named-entity recognition, machine translation, summarization, and question answering.
Modern NLP runs on large language models trained on massive text corpora. For content publishers, the practical implication is that NLP systems are now your primary readers - they classify your topics, extract your entities, embed your passages, and decide whether your content gets surfaced when a user asks a question.
- Named entity recognition for knowledge graph building
- Topic classification for content categorization
- Sentiment and stance detection
- Summarization for AI Overviews
- Question answering over web content
Knowing the term is step one.
Geordy operationalizes every term in this glossary - generating the structured files AI engines actually read.