The natural language AI service for advanced text analytics.
Humans use words to talk and write. Well, sometimes computers have a hard time understanding all those words like we do. Natural Language Understanding, or NLU for short, is like a special tool that helps computers understand our words better. It includes a set of text analytics features that you can use to extract meaning from unstructured data.
IBM Watson® Natural Language Understanding employs deep learning to derive meaning and metadata from unstructured text data. Delve into your data using text analytics, and extract categories, classification, entities, keywords, sentiment, emotion, relations, and syntax.
Natural Language Understanding stands as a premier text analytics service, seamlessly integrable into your existing data pipeline. It supports 13 languages based on the feature. NLU is hosted in Dallas, Washington, D.C., Frankfurt, and Sydney.
Here are the functionalities IBM Watson® Natural Language Understanding offers:
They have experienced a remarkable 15% month-over-month surge in revenue through their software, a tool that dissects top-performing content to help customers reach higher search rankings. They leveraged IBM Watson® to analyze top-performing content and offer actionable insights, enabling customers to create relevant content more efficiently.
They have created a law search engine powerhouse with the AI driven cloud services of the Watson platform - indexing, processing, and translating nearly 2 million laws across 100 countries. They employed the Watson NLU API to finetune the discoverability of relevant laws and data.
They harnessed Watson Natural Language Understanding, Watson Knowledge Studio, and Watson Discovery to decode financial intricacies like inflation and employment, easing fund managers' challenges. This empowers customers to make informed decisions, eliminating the need to navigate complex, ever-changing digital information.
Cost savings
USD 6.13 million in benefits over three years
ROI
383% ROI over three years
Save time
50% reduction in time spent on information-gathering tasks
Revenue
5% annual increase in revenue
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