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OpenText Content Analytics - Quick Introduction

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Charles-Olivier Simard
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WHAT IS CONTENT ANALYTICS ?
CONTENT ANALYTICS UNLOCKS BUSINESS VALUE FROM UNSTRUCTURED CONTENT VIA SEMANTIC TECHNOLOGIES DELIVERING ANSWERS TO IMPORTANT QUESTIONS
ANALYTICS ADDSVALUE BUT WHY ? AND WHY NOW
OFFLOADING THE EASY BUT TEDIOUS
FINDING WORDS
WHAT FEATURES OF THIS SMARTPHONE ARE USERS INCREASINGLY LIKING OR HATING ?
CONTENT ANALYTICS
WHAT CAUSED THIS RECENT DROP SALES FOR ? IN PRODUCT X
MEDIA PROFILE GIVE ME A OF MR. X INCLUDING TRENDS, QUOTES, ROLES, CONTACTS, …
ADVANCED CONTENT ANALYTICS
FIND POSITIVE REVIEWS OF PRODUCT X THAT COMPLAIN ABOUT SPECIFIC FEATURES
TRACK THE INFLUENCE OF THIS PRESS RELEASE IN BLOGS OVER TIME
WHICH REGULATORY CLAUSES AND SENTENCES FROM PAST CASES DISCUSS THE FAILURE OF COMPONENT X ?
OFFLOADING THE EASY BUT TEDIOUS
Enrich. Classify. Understand
High Level Architecture REST APIs / XML RCP (HTTP) IN OUT UIMA Annotations 3RD party annotator (Facts & relationships) Sentiments/Opinion Key concepts Categories Similarity Parsers Entities s The 3 pillars of content analytics: 1. Languages 2. Industry specific annotations 3. Industry specific documents

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OpenText Content Analytics - Quick Introduction