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.
Mushi Lab created Clearscope to analyze high-performing content and identify actionable recommendations, resulting in 15% month-over-month revenue growth.
IBM Watson Natural Language Understanding is an offering within the IBM Cloud.
For detailed Natural Language Understanding pricing, view the following table. For additional information about our broader pricing models and approaches, visit our IBM Cloud pricing overview.
Please visit our pricing calculator here, which gives an estimate of your costs based on the number of custom models and NLU items per month.
IBM Watson NLP Library for Embed, powered by Intel processors and optimized with Intel software tools, uses deep learning techniques to extract meaning and meta data from unstructured data.
Integrating Intel’s OneAPI and IBM Watson’s NLP Library can accelerate the performance of various NLP tasks, including sentiment analysis, topic modeling, named entity recognition, keyword extraction, text classification, entity categorization, and word embeddings.
A quick overview of the integration of IBM Watson NLU and accelerators on Intel Xeon-based infrastructure with links to various resources.
Infuse powerful natural language AI into commercial applications.
Apply natural language processing to discover insights and answers more quickly, improving operational workflows.
Address customer requests across channels like digital and voice channels.
Transcribe your audio with near real-time dictation or batch audio files using our available API.
1 "Improving Watson NLP performance in IBM products through Intel Optimizations," (IBM Research technical note: October 2022).