Partner with IBM to embed Natural Language Processing into your solutions
Build with IBM natural language embeddable AI
Watson NLP Library for Embed helps develop enterprise-ready solutions through robust AI models, extensive language coverage and scalable container orchestration. The library form provides the flexibility to deploy natural language AI in any environment.
Analyze sentiment on a positive, negative, and neutral scale to determine whether a customer is happy or dissatisfied, pinpoint the reason why, and find specific moments where sentiment changed.
Detects anger, disgust, fear, joy or sadness that is conveyed in the content or by the context around target phrases specified in the targets parameter.
Analyze and classify desired text using custom label classifier trained in Watson Studio.
Detect, extract, prepare and redact personally identifiable information (PII), or classify mentions of entities from raw text data.
Extract all mentions of keywords, phrases and expressions from text input.
Extract semantic relationships from text which usually occur between two or more entities.
Extract concepts of interest that are referenced or alluded to and groups words and phrases into semantically similar groups.
Deploy and run your applications on any hybrid multi cloud in the container environment of your choice: local Docker platform, Kubernetes, or serverless containers.
Use cases
Analyze customer and employee feedback on their experiences and satisfaction with products and services, and workplace environment.
Provide knowledge workers with answers in real-time from a large corpus of information, augmenting awareness and increasing productivity.
Provides actionable insights for all areas of the financial sector to help save hours of manual work in reviewing materials and gathering evidence.
Provide relevant ads and content recommendations based on site content. Ad targeting and media buying, ad insertion in audio/videos.
Monitor brand reputation and perception on social channels. Assess pulse of the market and gauge effectiveness of ad and public relations campaigns.
Utilize NLP to accelerate classifying, sorting, and processing of extracted semi-structures and unstructured data in document processing tasks.
Analyze customer and employee feedback on their experiences and satisfaction with products and services, and workplace environment.
Provide knowledge workers with answers in real-time from a large corpus of information, augmenting awareness and increasing productivity.
Provides actionable insights for all areas of the financial sector to help save hours of manual work in reviewing materials and gathering evidence.
Provide relevant ads and content recommendations based on site content. Ad targeting and media buying, ad insertion in audio/videos.
Monitor brand reputation and perception on social channels. Assess pulse of the market and gauge effectiveness of ad and public relations campaigns.
Utilize NLP to accelerate classifying, sorting, and processing of extracted semi-structures and unstructured data in document processing tasks.
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.
A quick overview of the integration of IBM Watson NLU and accelerators on Intel Xeon-based infrastructure with links to various resources.
CrushBank empowers IT help desk employees to quickly find the most relevant information to solve customers’ problems, increasing productivity and customer satisfaction.
LegalMation uses natural language processing to help legal teams draft high-quality litigation work in minutes, freeing time and resources for higher-tier services.