Magellan Text Mining
Make sense of text, millions of pages at a time
What is text mining and content analytics?
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 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.
OpenText Magellan named a strong performer
The Forrester Wave™: AI-Based Text Analytics Platforms (Document Focused), Q2 2020
OpenText Magellan Text Mining features
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Concept extraction
Identifies meaningful terms and noun phrases from documents, using algorithms to extract core concepts.
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Named entity recognition
Locates and extracts places, people, organizations and anything else with a name.
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Text summarization
Finds key sentences in documents and uses them to create a summary, streamlining a time-consuming manual task.
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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 intent behind the message.
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Multilingual
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.
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Text classification
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.
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Language detection
Automatically recognizes the language(s) used throughout the document.
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Cloud-native edition
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.
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Image analysis
Processes images to identify high-risk images that violate organizational policy, such as weapons, alcohol or drugs.
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Content repository enrichment
Crawls content stored within OpenText™ Content Server and enriches it with metadata in-place to aid records management and findability.
Not only could they take in Social Media Feeds, but they could go deeper and extract concepts, classify sentiment, and even train their engine to get better over time. In short, it fits all our use cases.
With OpenText Magellan, this AI-powered analytics platform will be able to model and simulate the information gathered from the data lake and provide predictive and prescriptive solutions towards problem solving
We are building intelligent tools with OpenText Magellan to make our legal teams even more efficient and effective, with automated document summaries and chronologies, instant sentiment analysis and AI-enabled privilege detection already on the way.
OpenText Magellan Text Mining benefits
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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.
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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.
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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.
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Boost insight and responsiveness to public opinion
Identify whether the prevailing sentiment of a text is positive, neutral or negative, whether it reflects subjective opinion, and the extent to which specific emotions are conveyed.
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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.
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Seamlessly integrate with EIM
Combine Magellan Text Mining’s content analytics with sophisticated predictive analytics, enterprise-grade business intelligence (BI), open-source machine learning libraries and a computing platform that can acquire, merge, manage, analyze and visualize big data and big content stored in any Enterprise Information Management system.
OpenText Magellan Text Mining solutions
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Resources
Blogs
- The hidden message in realms of text
- Feelings, trends and value: Three key elements of sentiment analysis
- What’s the difference between data mining and text mining?
- What is natural language processing?
Webinars
- Deriving Value from the 80 % of Data You’re Not Using
- Gain Context, Insight and Value from Big Content
Product overviews
White papers
- OpenText Magellan Text Mining helps users gain insight from unstructured content
- OpenText AI: Guide to the technical architecture of Magellan