Use advanced NLP to analyze text and extract meta-data from content such as concepts, entities, keywords, categories, sentiment, emotion, relations, and semantic roles. Apply custom annotation models developed using Watson Knowledge Studio to identify industry/domain specific entities and relations in unstructured text with Watson NLU.
Analyze semantic features of text input, including categories, concepts, emotion, entities, keywords, metadata, relations, semantic roles, and sentiment.
Extend Natural Language Understanding with custom models built on Watson Knowledge Studio that can identify custom entities and relations unique to your domain.
Support a variety of languages depending on which features are being analyzed, including English, Arabic, Chinese (simplified), Dutch, French, German, Italian, Japanese, Korean, Portuguese, Russian, Spanish, and Swedish - with more to come.
Apply to various use cases, including content recommendation, advertising optimization, audience segmentation, voice-of-customer analysis, data mining, and more.
Why Use Watson Natural Language Understanding?
If you're experiencing issues with this product, go to the IBM Cloud Support Center and navigate to creating a case. Use the All products option to search for this product to continue creating the case or to find more information about getting support. Third party and community supported products might direct you to a support process outside of IBM Cloud.