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See information in new ways
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Say hello to faster decisions. Your secure personal AI assistant is ready to get to work
Gain better insights with generative AI for supply chains
Power work with AI content management and an intelligent AI content assistant
Improve your security posture with AI cybersecurity and agile threat detection
Enable faster app delivery, development, and automated software testing
Elevate customer communications and experiences for customer success
Empower users, service agents, and IT staff to find the answers they need
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Modernize your information management with certified experts
Unlock the full potential of your information management solution
Turn support into your strategic advantage
Extend IT teams with certified OpenText application experts
Discover training options to help users of all skill levels effectively adopt and use OpenText products
Information is the heartbeat of every organization. We build information management software so you can build the future
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Make sense of unstructured content with AI text mining software. OpenText™ Intelligent Classification (Magellan Text Mining) analyzes text data using Natural Language Processing (NLP)—extracting sentiment, topics, and key entities to support smart decisions and accelerate automation.
By harnessing AI-powered text mining, OpenText Intelligent Classification automates extraction and classification of unstructured data at scale—transforming vast content into accurate, actionable insights for smarter enterprise decisions.
OpenText Intelligent Classification uses AI-powered text mining to analyze, tag, and classify unstructured content—enhancing discovery, compliance, and risk mitigation across enterprise information at scale.
Indexes and sorts stored documents with AI-generated classifications and relevancies. It enriches new content with in-place metadata to aid records management and improve findability.
Provides powerful NLP, Natural Language Understanding (NLU), and computer-vision technologies that go beyond text to analyze visuals, whether in dedicated image files or embedded within documents.
Automatically extracts core concepts using algorithms to identify meaningful terms and noun phrases from documents.
Detects whether documents convey a positive, negative, or neutral tone, are objective or opinion-based, how much emotion they express (like joy, anger, or trust), and the intent behind their message.
Automatically applies NLP and out-of-the-box annotators for ten languages and supports basic concept and named-entity extraction for 25 others.
Combines multiple AI and machine-learning techniques to maximize relevance of automated classification and categorizations. Enables IT to tune the composite AI rules and integrate external AI models.
OpenText Intelligent Classification
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We can process a wide range of content, including emails, documents, PDFs, social media posts, customer feedback, call transcripts, and more—helping extract meaning and insights from text-heavy sources.
Text mining in data analytics is the process of extracting meaningful information from unstructured text data using techniques such as NLP, machine learning, and statistics.
By using AI and natural language processing, OpenText Intelligent Classification uncovers key entities, sentiment, and topics hidden in unstructured content, enabling smarter decisions, faster response times, and stronger compliance with regulatory requirements.
OpenText Intelligent Classification uses AI to transform unstructured data into actionable insights.
Read the blogData mining and text mining are often seen as complementary analytic processes but here’s how they differ.
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