MeshLabs is a pure-play developer of text analytics software. Our core product is a hybrid text analytics engine, that combines linguistic (NLP), statistic, and semantic approaches to process large volumes of unstructured and structured content. Built to enterprise performance standards, the engine offers flexible integration capabilities including content connectors and APIs. We are a team of information retrieval professionals who are passionate about solving complex unstructured data processing problems for a variety of industries. Our product is deployed at large enterprises globally. We specialize in developing products using emerging content processing technologies to solve complex customer experience management problems. I can discuss with you specific ideas, best practices, and case studies.

1. MeshLabs
Text Analytics
© 2012 MeshLabs Software Private Limited

2. INTRODUCTION
Making Text Analytics Easy to Solve Complex
Problems
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3. Text, Text, Everywhere…
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4. And Not a Single Insight.
Too much volume and variety Missed Opportunities
Multiple Channels, Topline and
Sources and Types Bottom-line Impact
Cost / Quality concerns
Current BI tools won’t work over manual methods
Structured data
Limited Analysis,
only and too Product Managers Ad hoc, Scalability
complicated Customer Insight Managers Issues
Research Analysts
Customer Care Reps
Sales & Marketing Leaders
HR Leaders
Senior Executives
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5. Text Analytics
powerful technology Semantics
to automatically… Statistics
Linguistics
1 Ingest all text data/content
2 Extract valuable assets
3 Deliver actionable insights
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6. Our Product
Custom
Solutions
Search
Interface
Dashboards APIs • On-Premise
• SaaS
• API
eZi Semantic eZi Sentiment
eZi Reco ™
Search ™ Analyzer ™
MeshLabs eZi CORE ™
Unified Semantic Index /
Triple Store
POS Entity Rules Inference /
Tagging Extractor Classifier Clustering
Engine Reasoner
eZi Connectors ™ and Crawlers
Microsoft SharePoint, Outlook, Alfresco
Enterprise Content
Web Content
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7. How it Works
Gather your data – Text
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 Connectors to Enterprise Content Stores,
(Unstructured) and Facebook, Twitter etc.
Structured  Crawlers for getting data from websites
 Upload files & documents – Excel, Word, PDF etc.
Process your data –
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 NLP – Natural Language Processing
Extract  Taxonomies & Custom Ontologies
entities, classify, cluster, a  Machine Learning
nd score sentiment
Analyze output -
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 Dashboards
dashboards, reports, work  Charts & Reports
flows, and alerts  Exports
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8. Problems we have solved
Opinion Auto- Intelligent
Mining Categorization Agents
“ How do I gain “ With so much
“ As a
actionable information
retailer, how do I
insights from overload, how
display
market & do I transform
categorized
customer the effectiveness
listings in the
interactions of my
most efficient
across channels? knowledge
manner? “
” workers? “
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9. Case Study
• How to systematically mine large volume of consumer opinion on leading brands from social media
Challenge and other online channels…
• How to transform analyst productivity – do more in less time and cost…
• Developed Analyst Workbench solution powered by MeshLabs eZi CORE™ Text Analytics Engine to
process vast amounts of content
Solution • Sentiment analysis, feature detection, entity extraction, content categorization, faceted search
• Standardized workflows and processes
• Dashboards and advanced reporting features for better analytics
• Increased execution and delivery speed
Benefits • Complete Automation - Elimination of manual and laborious processes
• Reduced costs through significant productivity gains
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10. Ready? Points to Ponder
Category Questions
Business Insights: Knowing “what” but not the “why”: Do you often feel that you run into
Challenges problems that you know of, but have hard time discovering “why”? E.g. Increase in
customer complaints, but have hard time explaining why?
Repeating Mistakes and Recreating Solutions: Fairly common in service organizations.
Findability: Can your customers, employees, and partners find the content they want?
Compliance Concerns: Is your business regulated? Do you have compliance burden that
you are unable to meet?
Volume How much text data/content do you have? # of documents, articles, verbatims, call
center notes, problem records – average size in MB, GB etc.
Velocity How frequently does your data change - by the minute, hourly, daily etc.?
Variety What types of data do you have? From what sources and channels?
Process Who is responsible for analysis? Do you have enough skilled resources? Is the process
Control too complex? Are you satisfied with the speed and quality? What is the overall cost?
What is the data lifecycle ?
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11. About US
Provider of text analytics software products
 Unified Content Access
 Entity Extraction / Tagging
 Categorization
 Summarization
 Recommendation  On-premise
 Faceted Search  SaaS
 Sentiment Analysis  API
 Dashboard & Reporting
Information Management | Customer Experience Management | Business Intelligence | Regulatory Compliance
Featured
Customers:
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12. Contact Us
www.meshlabsinc.com
sales@meshlabsinc.com
@meshlabs
linkedin.com/company/meshlabs
facebook.com/meshlabs
USA: 1-602-617-9370 | India: 91-89718 20925
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