Without the right analytic tools, organizations often fail to tap into their unstructured data, such as text. With nearly 80% of all enterprise information being unstructured, the potential lost value is enormous. With text mining, organizations can quickly and inexpensively access and analyze billions of pages of textual content and imagery from internal documents, emails, social media, web pages and more. Text mining goes beyond simply searching for keywords. It uses powerful algorithms to analyze that content, determine what a given piece of text is about and assess its relevance.
OpenText Magellan Text Mining overview
OpenText™ Magellan™ Text Mining transforms data into insights for better decision-making and information management while freeing up resources and time. By some estimates, as much as 71% of enterprises are struggling with how to manage and protect unstructured data.1 Magellan Text Mining enables enterprises to understand the context and information locked in high volumes of content at scale.
With Magellan Text Mining, information governance is more accurate and efficient, cutting down on redundant, obsolete or trivial information and extending the lifespan of useful data.
Identifies meaningful terms and noun phrases from documents, using algorithms to extract core concepts.
Named entity recognition
Locates and extracts places, people, organizations and anything else with a name.
Finds key sentences in documents and uses them to create a summary, streamlining a time-consuming manual task.
Sentiment, emotion and intention analysis
Detects if documents convey a positive, negative or neutral tone, are objective or opinion-based, the extent to which they express anger, anticipation, disgust, fear, joy, sadness, surprise and trust, and the causal or business intent behind the message.
Offers dedicated natural language processing and additional annotators out of the box for ten languages, including English, German, and Spanish, and supports basic concept and named entity extraction for 25 others.
Indexes and sorts documents by classification and identifies relevancies. Analyzes concepts and queries them against extensible models and knowledge bases to create document profiles according to a defined taxonomy.
Automatically recognizes the language(s) used throughout the document.
Unlocks a new level of performance, agility and simplified management by deploying Magellan Text Mining to the cloud. Certified for the OpenText Cloud and Microsoft Azure.
Go beyond text and analyze visuals, whether in dedicated image files or embedded within documents.
Content repository enrichment
Crawls content stored within OpenText™ Content Server and enriches it with metadata in-place to aid records management and findability.
OpenText Magellan Text Mining benefits
Improve customer support
Serve up the right pieces of text from among millions or billions of pages to complete an order record, address a service question or personalize a product recommendation.
Streamline information governance and regulatory compliance
Intelligently index and enrich content archives to help users spot content that needs to be retained, archived or shared for more reliable information governance and regulatory compliance.
Find new value in content and derive more insight
Go beyond simple tagging to extract what content is about, linguistically parsing every sentence to create rich metadata that makes it easier to find and add meaning to key names, places, dates, concepts and more.
Take a proactive approach to finding high-risk content to protect the organization and meet ethical responsibilities owed to stakeholders.
Enable fast deployment
Easily set up and operate using convenient pre-configured vocabularies and taxonomies, flexible machine learning options, a range of crawlers for the most popular enterprise content repositories, a management console and a visually appealing, self-service UI.