Perform sophisticated text analysis and machine translation at scale with Oracle Cloud Infrastructure (OCI) Language. Use this cloud-based AI service to build intelligent applications by using REST APIs and SDKs to process unstructured text for sentiment analysis, entity recognition, classification, translation, and more.
OCI Language can identify more than 100 languages in text. It also automatically recognizes at least 18 entity types—including the names of organizations and products—and detects other information, such as names, used in context.
OCI Language uses state-of-the-art AI models to mask private information.
Analyze the mood or tone of text with APIs that help extract indicators of sentiment from individual aspects. OCI Language classifies sentiments as positive, negative, or neutral with a confidence score.
Identify and classify textual content from multiple languages into more than 600 categories. Use natural language processing to identify the most salient key phrases in your documents.
Easily train custom classification models to group text records into specific categories. These models are trained on your own data to meet your unique business needs.
You can train prebuilt entity models and custom models to identify terms unique to your domain, such as product part codes, manufacturing terms, and specific financial entities.
Use machine translation to translate between 30 languages. Overcome language barriers and globalize your business by: automatically translating your text and documents; translating real-time customer conversations and support requests to improve the customer experience; building multilingual products and services to reach new customers; and enhancing collaboration of your global teams by translating communications, internal documents, and training resources.
OCI Language is compliant with HIPAA and FedRAMP, and customers control their data.
OCI Language is a versatile service that can be called via REST APIs, seven different SDKs (including Python, C#, and Java), or the OCI command line. Developers can easily deploy a scalable language service without having data science or machine learning expertise.
Explore how customers perceive your brand, extract sentiments about specific areas of interest, and identify your customers’ top frustrations so you can address them.
Track the topics most discussed in social media or in your support knowledge base, and prioritize responses based on critical areas of interest.
Extract named entities from your customer feedback to identify people, products, and organizations mentioned.
Train a custom model to categorize incoming support requests.
Train a custom named entity recognition model to automatically extract details, such as product name, store location, and warranty information, from unstructured text.
Automatically extract key phrases from support tickets to find tickets that address similar issues.
Automatically detect the language and route your support tickets to the right associate.
Assist associates with automated translation of emails and chat conversations to enable seamless interactions with customers around the globe.
Address regulations, such as the EU General Data Protection Regulation (GDPR), by identifying private information from your data so that you can redact it before publishing.
Develop multilingual support for products and services, translate user guides and knowledge articles to reach a global audience, improve communication across global teams, translate your sales and marketing assets to expand to more customers, and enhance the accessibility of training and education content using translated subtitles.
Document translation is available for Word, PowerPoint, Excel, HTML, JSON, CSV, TSV, text, SRT, WebVTT, and other file formats.
Chris Pearce, Technology Senior Consultant, Oracle
Simon Wigley, Consulting Technology Architect Director, Oracle
Aon uses data-driven insights to identify customers’ priorities and monitor their sentiment. With Oracle Consulting’s data pipeline, Aon employs OCI Language’s sentiment analysis to transform unstructured textual data into interactive dashboards, enabling swift access to insights and informed decision-making.
Perform NLP tasks like detecting languages, extracting key elements, classifying intent, detecting the sentiment, etc., with a few simple steps.
Learn more about Oracle Cloud Infrastructure Language and the exciting features that come with the service.