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IBM Watson® Natural Language Understanding uses deep learning to extract meaning and metadata from unstructured text data. Get underneath your data using text analytics to extract categories, classification, entities, keywords, sentiment, emotion, relations and syntax.
The Watson Natural Language Processing (NLP) Library for Embed provides natural language processing functions for syntax analysis, and pre-trained models for a wide variety of text processing tasks, in a fully embeddable library.
Natural language processing (NLP) is a subfield of artificial intelligence and computer science that focuses on the tokenization of data – the parsing of human language into its elemental pieces.
IBM Watson natural language processing is a cloud native product that uses deep learning to extract metadata from text such as keywords, emotion, and syntax.
May 24, 2024 · Natural Language Understanding: A subtopic of natural language processing in AI that deals with the way machines interpret text and understand meanings based on the context. Features: The possible classifications that Watson Natural Language Understanding can output from the given text input.
4 days ago · 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.
Watson Natural Language Understanding. Natural language processing for advanced text analysis. Natural Language Processing. Analyze text to extract metadata from content such as concepts, entities, keywords, categories, sentiment, emotion, relations, semantic roles, and syntax.
