PRODUCT OVERVIEW

OpenText Magellan Text Mining
A fast, powerful, flexible way to unlock the value hidden in unstructured text
by extracting terms, concepts, entities, sentiments, emotions and more toyield business insights

Find new value incontent and derivemore insight withsemantic metadata
Improve customer
support by connecting
more efficiently todesired information
Boost insight andresponsiveness byanalyzing social media
and news content
Streamline
information
governance andregulatory complianceby indexing andenriching storesof content

Organizations can now quickly and cheaply access billions ofpages of text from internal documents, emails, social media, webcontent and more. But, without the right tools, they often fail to tap
into its insights. The potential lost value is enormous, since nearly
80 percent of all enterprise information is unstructured data.1
The OpenText™ Magellan™ Text Mining application gives organizations visibility into
unstructured, text-based content by using semantic technologies and metadata toimprove its findability. This powerful natural language processing solution can collect,
sift, correlate and assign meaning to text from emails, PDFs, web content, social media
and other internal and external data sources. This includes identifying key people,
topics, dates, events, themes and even the mood and subjectivity of the document.
By some estimates, knowledge workers spend one-sixth of their time hunting for
information and 44 percent of those searches come up empty-handed.2 With Magellan
Text Mining, knowledge workers can use this output in an analytic context to more easily
spot patterns and trends to gain new insights, make better decisions and free up time.
These capabilities can make information governance more accurate and efficient, cut
down on redundant, obsolete or trivial information and extend the lifespan of usefuldata. Magellan Text Mining automates practices and enables previously unheard-ofperformance boosts to processes, such as measuring customer or citizen sentiment,
legal discovery, risk assessment, regulatory compliance, customer service andproduct personalization.
1 TechRebublic, Unstructured data: A cheat sheet. (2017) https://www.techrepublic.com/article/
unstructured-data-the-smart-persons-guide/
2 IDC, The Knowledge Quotient: Unlocking the Hidden Value of Information Using Search and Content Analytics.
(2014) https://www.coveo.com/~/media/Files/WhitePapers/Coveo_IDC_Knowledge_Quotient_June2014.ashx

Drawing on powerful machine learning technology, the solution comes withbuilt-in libraries of terms (including many important business concepts), whichallow organizations to make the most of scarce data science talent. Further, it canbe “taught” nearly any other topic, in multiple languages. When used as part ofOpenText™ Magellan™, the AI-enhanced analytics platform, Magellan Text Mining isenhanced with holistic analytics, visually-appealing reporting, trend analysis andforecasting, smart content capture and much more. It comes with a range of APIs thatenable smooth integration with a wide range of enterprise information management(EIM) solutions.

Find new value in content and derive more insight
Textual content inherently contains value, but it is only valuable if the rightinformation can be found by the right people, quickly. Magellan Text Mining goesbeyond simple tagging to extract what the 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 much more. Organizations find it easierto track down, summarize, analyze and spot patterns or trends in the petabytes
of information they gather, such as customer comments, patient records or legallyrequired financial disclosures, and create user-friendly reports or blend with content
from other sources to create even more high-value assets.

With the Magellan Text Mining Studio, it is easy to edit and add new categories
of knowledge.

Improve customer support
Magellan Text Mining efficiently serves 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.

Boost insight and responsiveness to public opinion
Customer or citizen sentiment and emotion can be gauged by analyzing themeaning and mood of social media and news content and spotting trending terms.
Magellan Text Mining can identify whether the prevailing sentiment of the text
is positive, neutral or negative, whether it reflects subjective opinion, and whichemotions (anger, anticipation, disgust, fear, joy, sadness, surprise, and trust) are
expressed and their classifications.

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Streamline information governance and regulatory compliance
Information governance and regulatory compliance become more reliable andefficient with Magellan Text Mining, which can intelligently index and enrich content
archives to help users spot content that needs to be retained, archived or shared andclear out the clutter.

Enable fast deployment to the platform of choice
Magellan Text Mining is easy to set up and operate, with convenient pre-configured
vocabularies and taxonomies, plus flexible machine learning options to digest newtopics. It comes equipped with a range of crawlers and connectors to a wide range of
popular enterprise content repositories (including file shares), a management console
and a visually appealing, self-service UI. A complete list of connectors included with
Magellan Text Mining appears on page 5.
Magellan Text Mining also allows organizations to deploy on the hosting solution of
their choice, whether on-premise, through four-node Windows or Linux deployments,
hybrid, or in the cloud. The Magellan Text Mining cloud-native edition provides amodern, containerized architecture, supported by Docker and Kubernetes, thatdelivers high levels of performance, flexibility, and scalability, and can be deployed tothe OpenText Cloud or other platforms of choice.

Seamless EIM integrations
Magellan Text Mining is part of the Magellan AI-enhanced analytics platform, acomplete solution for machine-assisted decision-making, automation and business
optimization. The Magellan platform combines Magellan Text Mining’s content
analytics with sophisticated predictive analytics, enterprise-grade businessintelligence (BI), open-source machine learning libraries and a computing platformthat can acquire, merge, manage, analyze and visualize big data and big content
stored in any enterprise information management system.
The Magellan platform readily integrates with OpenText's other award winning EIM
applications and acts as a digital accelerant to create quick, effective solutions
for a range of business uses including AI-enhanced content capture, predictive
asset performance optimization, and intelligent shopping recommendations. For
example, the OpenText™ TeamSite™ web content management system uses Magellan
Text Mining for automatic content tagging, summarization and taxonomy creation,
promoting easier, more accurate content access, targeted personalization and AIdriven content suggestions.

How it works
Magellan Text Mining uses a best-of-breed approach that combines statisticalmethods with machine learning and knowledge engineering to analyze each pieceof content and assign it a linguistic “fingerprint” through metadata. It also processes
text, extracts entities (places, people, organizations and anything else with aname), concepts and the sentiment and emotion of each document. It summarizes
documents by identifying key sentences, then profiles and categorizes them. To see
it in action, visit http://magellan-text-mining.opentext.com and paste in the text ofyour choice.

For advice and guidance with Magellan Text Mining:• OpenText Professional Services: AI & Analytics Services
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Magellan Text Mining processing
Concept extraction

Identifies meaningful terms and noun and verb phrases from documents, using
algorithms to extract core concepts

Named entity recognition (NER)

Locates and extracts places, people, organizations and anything else with a name

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

Text summarization

Identifies key sentences in a document and uses them to create a summary,liberating staff from an otherwise manual chore

Sentiment and emotion analysis

Detects whether a document or even a sentence expresses a negative, positive,
or neutral connotation, is objective or opinion-based, and to what degree it
expresses anger, anticipation, disgust, fear, joy sadness, surprise and trust

Language Detection

Finds the language of text or paragraphs within text.

Magellan Text Mining languages
Magellan Text Mining supports theselanguages with dedicated natural
language processing and one or moreavailable annotators out of the box:

Arabic, Chinese, Dutch, English, French, German, Hebrew, Italian, Japanese,
Portuguese and Spanish

Magellan Text Mining supports basic
concept and named entity extraction in
25 additional languages:

Bulgarian, Catalan, Croatian, Czech, Danish, Estonian, Finnish, Greek, Hungarian,Irish, Icelandic, Latvian, Lithuanian, Norwegian, Persian, Polish, Romanian,Russian, Slovak, Slovene, Swedish, Turkish, Ukrainian and Vietnamese

Crawlers

Enterprise /IoT / App Data
XLSEnterprise /IoT /App Data

Crawlers

Desktop Data

ApacheDashboards,
ZooKeeper™

Apache ZooKeeper
Kafka

Desktop Data

Website Content

Magellan Text Mining

Magelan text mining
Crawler Output

Crawlers

Mongo DB
Pipeline

WebsiteCrawlers
Content

Social Content

Scorecards,  
Analysis,  Insights,  AdPipeline Hoc

Apache ZooKeeper™

Apache Zookeeper
Ingestion Pipeline

Scorecards

Ingestion Pipeline

PostgreSQL/SOLR

Text Mining Engine

Text Mining Engine Concept Extraction
EnterpriseContent

Dashboards

Interactive Reports

PostgreSOLEnterprise Content

Interactive,

Mobile,Apache Reports,
Kafka®

CoreCoreMobileAnalysis Insights
Ad-HocNamed Entity Recognition

Data Text Classification

Sentiment and Emotion Analysis

Concept Extraction
Data

Entity Extraction

Text Summarization

Language Detection

Social Content
Categorization
Magellan Text Mining architecture, from data ingestion (L) to actionable output (R)Sentiment Analysis
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Summariyzation

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Connectors

Magellan Text Miningat work
A major food and beverage company
knew its success depended in largepart on public opinion. Consumers’changing tastes guide the choiceof products to launch, expand
and discontinue. Levels of brandawareness influence marketing
campaigns, while complaints might
indicate problems the company
could fix, such as quality or shipping
times. However, traditional opiniongathering methods, such as surveys,
focus groups and media audits, areslow and expensive.
The company wanted to monitor
social media and customer
feedback, not just tally hashtags butreport on the concepts and emotionspeople have about the company.
OpenText™ Magellan™ Text Mining
offered a fast, accurate, costeffective way to view and analyze
discussions of the company and its
products, not only the terms andattitudes it knew to track but someit didn’t expect. The company can
now target its marketing, productdevelopment and consumer
outreach efforts more accurately,
improving customer satisfaction andits own profitability.

IncludedOpenText

Content Server 10.x (LAPI*, CWS*)
Content Server 16 (CWS, REST)
Content Server 16.2-16.5 (CWS, REST)
Archive Center (versions 10.5 and 16)
eDocs (versions 5.3.1, 10, and 16.2-16.5)
Media Manager (versions 7.3.1 and 16.x [via REST v4])
InfoArchive
Tempo Box
Documentum (versions 6.6, 7.1, and 16.x)

MicrosoftWindows fileshare
Add-Ons

IBM

FileNet P8 4.5.1
FileNet P8 5.2

Cloud storage

Box.com
DropboxGoogle Gmail
Google Drive

Microsoft

Microsoft Exchange 2010
Microsoft SharePoint 2010
Microsoft SharePoint 2013
Microsoft SharePoint 2016
Microsoft SharePoint Online

GenericCMIS

Magellan Text Mining offers crawlers that can analyze documents by connecting with a wide rangeof popular content management tools.
* Note: CWS stands for "Content Web Service" interface. LAPI stands for "Livelinks API."

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Magellan Text Mining services
Modeling services

Provides a growing collection of REST APIs that extract and enrich unstructured
content with semantic metadata and support modeling. Users can create
and manage custom taxonomy and authority files, then train and benchmark
classification models and/or rules for them and use the modeling services tocustomize the provided semantic annotations based on business requirements.

Crawling services

Enables users to access, extract and process content from supported contentrepositories. These crawlers include native and direct connectors into OpenText
EIM solutions, such as OpenText™ Content Server, OpenText™ Documentum™,OpenText™ Media Manager, OpenText™ Archive Center, OpenText InfoArchive,OpenText Tempo Box,
OpenText eDOCS and a generic CMIS connector.
Crawlers that reach directly into popular third-party tools, such as Box, Dropbox,Gmail™, Google Drive™, IBM ® FileNet ®, Microsoft ® Exchange and SharePoint ®, arereadily available as add-ons.

Annotation service

Powers the core capabilities of Magellan Text Mining by leveraging classificationtrees within the models. This service enables content enrichment with categories/classification, named entities, sentiment and emotion analysis, and key concepts
at the document, sentence or entity level.

Magellan Text Mining Studio

Offers a convenient, visually appealing user interface to control the content
analysis process.

Persistence layers

Includes RDBMS, Hive, Apache Solr and Apache Spark services.

About OpenText
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OpenText, The Information Company, enables organizations to gain insight throughmarket leading information management solutions, on-premises or in the cloud. For
more information about OpenText (NASDAQ: OTEX, TSX: OTEX) visit: opentext.com.

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For more information, visit: https://www.opentext.com/about/copyright-information • (06.05.21)17629.EN

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