What is Natural Language Processing?
Natural language processing (NLP) uses machine learning to reveal the structure and meaning of text. With natural language processing applications, organizations can analyze text and extract information about people, places, and events to better understand social media sentiment and customer conversations.
Learn how to derive insights from unstructured natural language text using Google machine learning.
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Natural language processing defined
As a branch of artificial intelligence, NLP (natural language processing), uses machine learning to process and interpret text and data. Natural language recognition and natural language generation are types of NLP.
A subtopic of NLP, natural language understanding (NLU) is used to comprehend what a body of text really means. NLU can categorize, archive, and analyze text. NLP goes a step further to enable decision-making based on that meaning.
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What is natural language processing used for?
Natural language processing applications are used to derive insights from unstructured text-based data and give you access to extracted information to generate new understanding of that data. Natural language processing examples can be built using Python, TensorFlow, and PyTorch.
Customer sentiment
Customer sentiment
Use entity analysis to find and label fields within documents and channels to better understand customer opinions and find product and UX insights.
Receipt and invoice understanding
Receipt and invoice understanding
Extract entities to identify common entries in receipts and invoices, like dates or prices, to understand relationships between request and payment.
Document analysis
Document analysis
Use custom entity extraction to identify domain-specific entities within documents without having to spend time or money on manual analysis.
Content classification
Content classification
Classify documents by common entities, domain-specific customized entities, or 700+ general categories, like sports and entertainment.
Trend spotting
Trend spotting
Aggregate news with text that lets marketers extract relevant content about their brands from online news, articles, and other data sources.
Healthcare
Healthcare
Improve clinical documentation, data mining research, and automated registry reporting to help accelerate clinical trials.
Related products and services
Google Cloud offers a full suite of natural language products and solutions.
The Natural Language API provides pretrained models that let developers work with natural language understanding features such as sentiment analysis, entity analysis, entity sentiment analysis, content classification, and syntax analysis.
Natural Language APIThe powerful pretrained models of the Natural Language API enable you to derive insights from unstructured text at speed.
Vertex AIUnified AI development platform for building and using generative AI.
DialogflowAn end-to-end, build-once deploy-everywhere development suite that creates conversational interfaces for websites, mobile apps, and more.
GeminiGemini's ecosystem of products and models can help organizations of all sizes and professional developers get the most out of Google AI.Solution
Document AIPowered by Google Cloud optical character recognition (OCR) and natural language, Document AI reads and understands documents so you can extract value from your document data mine.
Additional resources
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