Build apps with natural language processing
Enable systems to understand human language
Enable systems to understand human language
Natural language processing (NLP) is the parsing and semantic interpretation of text, which allows systems to learn, analyze, and understand human language. With Watson's suite of NLP offerings, including Watson Natural Language Understanding (NLU), you can surface concepts, categories, sentiment, and emotion, and apply knowledge of unique entities in your industry to your data, no matter where it lives.
Ensure proper placement of advertisements based on page content, viewer patterns, and sentiment analysis of social media and other content.
Spot trends in customer feedback with NLP to identify business opportunities, address concerns, reduce churn, and drive revenue.
Identify key customer groups for market research and campaign personalization for different segments.
Extract metadata from unstructured text for deep analysis.
Recommend similar content to what users are interested in viewing or experiencing.
Search through large content repositories and quickly uncover relevant answers.
Save time with out-of-the-box NLP models like named entity recognition, sentiment analysis, keyword extraction, and more – built and continuously improved upon by our teams of data scientists, machine learning engineers, and linguistics experts.
IBM Watson Discovery named a 'Leader' in The Forrester Wave™ Cognitive Search Q2 2019 report.
See how Watson clients are achieving real business value with natural language processing.
Mushi Labs created Clearscope to help customers analyze high-performing content and identify actionable recommendations.
LegalMation® developed a first-of-its-kind solution for quickly and accurately drafting quality litigation work.
UBank provides their employees with an AI-powered search capability that helps them rapidly resolve customer inquiries.
Watson provides a comprehensive suite of natural language processing capabilities through Watson Natural Language Understanding, Watson Discovery, and Watson Knowledge Studio.
Developers, data scientists, and line-of-business users can deploy out-of-the-box NLP models to extract information from unstructured documents like PDFs, webpages, and word documents. Easy customization options are provided for fine tuning models for a specific industry or domain.
Analyze text to extract metadata from content such as concepts, entities, keywords, categories, sentiment, emotion, relations, and semantic roles.
Unlock hidden value in data to find answers, monitor trends, and surface patterns with the world’s most advanced cloud-native insight engine.
Teach Watson the language of your domain with custom models that identify entities and relationships unique to your industry in unstructured text.
Apply natural language processing capabilities to your business use cases, including text mining and sentiment analysis of social media or other content. Augment the productivity of your knowledge workers by automating tasks so that they can spend more time on higher value work and less time on text-based analysis.