- Author: IBM
- Date of last update: 12/09/2019
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.
Broad Language Support
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.