OpenText™ Magellan™ Text Mining uses AI and machine learning to transform unstructured content into insights, enabling better decision-making and information governance while freeing up resources and time. With Magellan, organizations understand the context and information locked inside high-growth unstructured content at scale.
Easily integrate into existing analytics applications and customize using more than 40 prebuilt, customizable NLP, NLU, audio, image and video image AI models.
Leverage natural language processing capabilities to efficiently subdocument, document and cross-document analysis for a holistic view of organizational content.
Gain knowledge from unstructured content with NLP for text and AI for video and images to auto-classify content and recognize relationships and sentiment.
Discover the advantages of using Magellan Text Mining.Read the overview
Unlock complex unstructured content quickly, consistently and with a high degree of completeness to gain rich metadata and meaningful business insights.
Continually adapt AI to provide insights or take low-risk actions that enable employees to focus on high-value tasks for smarter and more efficient processes.
Identify redundant, outdated and trivial (ROT) content to accelerate migrations, reduce storage costs and improve content retrieval.
Leverage sentiment and intent analysis to find the meaning within communications and content, including an individual’s feelings or intention.
Enable concept and entity extraction with multilingual NLP in nearly 40 languages, such as advanced NLP in English, Chinese and German or concepts and names in Russian.
Use APIs to seamlessly integrate with eDiscovery, workforce automation, records management and other uses of information management systems.
Indexes and sorts stored documents with AI-generated classifications and relevancies and enriches new content with in-place metadata to aid records management and findability.
Provides powerful NLP, NLU and computer-vision technologies that go beyond text and analyze visuals, whether in dedicated image files or embedded within documents.
Uses algorithms that automatically extract core concepts to identify meaningful terms and noun phrases from documents.
Detects if documents convey a positive, negative or neutral tone, are objective or opinion-based, the extent to which they express emotions, such as joy, anger or trust, and the causal or business intent behind the message.
Combines multiple AI and machine learning techniques to maximize relevance of automated classification and categorizations and enable IT to tune the composite AI rules and integrate external AI models.
Automatically applies natural language processing and out-of-the-box annotators for ten languages and supports basic concept and named entity extraction for 25 others.
OpenText offers deployment choice and flexibility for OpenText Magellan Text Mining.
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