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Natural Language ProcessingNatural Language Processing
- what's new
- Service Overview
- Getting Started
- API Reference
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FAQs
- How Do I Obtain a User Token Using Postman?
- What Should I Do If an NLP API Call Fails?
- Which Methods Can Be Used to Call NLP APIs?
- Must I Subscribe to NLP Before Calling NLP APIs?
- Can NLP Be Deployed on Premises?
- Can I Use NLP Offline?
- What Are Restrictions for Using NLP?
- What Are the Username, Domain Name, and Project Name in the Token Message Body?
- Regions and AZs
- What Permissions Do I Need to Use NLP?
- What Should I Do If I Want to Customize NLP?
- Which Languages Can NLP Process?
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Updated at: Feb 22, 2022 GMT+08:00
Application Scenarios
NLP applies to scenarios such as intelligent Q&A, content analysis, and content recommendation.
- Intelligent Q&A system
The intelligent Q&A system uses techniques, such as word segmentation, short text similarity, and named entity recognition, to compute the similarity of a pair of questions, which can solve problems such as Q&A, dialog, corpus mining, knowledge base construction, and more.
- Content recommendation
With keyword extracting and short text similarity and more, you can extract key semantic information and accurately match contents with similar semantics.