opentext content analytics - quick introduction

CONTENTANALYTICS

WHAT IS

?

CONTENT ANALYTICSUNLOCKS BUSINESS VALUE

FROM UNSTRUCTURED CONTENT

DELIVERING ANSWERSTO IMPORTANT QUESTIONS

VIA SEMANTIC TECHNOLOGIES

ANALYTICSADDS VALUE

BUT WHYAND WHY NOW?

SEEKING PRECISION

OFFLOADINGTHE EASY BUT TEDIOUS

FINDING WORDS

FEATURESWHAT

SMARTPHONEOF THIS

LIKINGARE

HATINGINCREASINGLYUSERS

OR ?

CONTENT ANALYTICS

CAUSEDWHAT

DROPTHIS RECENT

PRODUCT XIN FORSALES ?

MEDIA PROFILEGIVE ME A

MR. XOF INCLUDINGTRENDS, QUOTES, ROLES, CONTACTS, …

ADVANCED CONTENT ANALYTICS

POSITIVE REVIEWSFIND

PRODUCT XOF

THAT

FEATURESCOMPLAIN

ABOUT SPECIFIC

INFLUENCETRACK THE

PRESS RELEASEOF THIS

IN TIMEBLOGS OVER

REGULATORY CLAUSESWHICH

SENTENCESAND FROM

FAILURE PAST CASES

DISCUSS THE OF COMPONENT X?

SEEKING PRECISION

OFFLOADINGTHE EASY BUT TEDIOUS

Enrich. Classify. Understand

High Level Architecture

3RD party annotatorUIMA

Ke

y co

nce

pts

Annotations(Facts & relationships)

En

titie

s

Se

ntim

en

ts/

Op

inio

ns

Ca

teg

orie

s

Sim

ilarit

y

REST APIs / XML RCP (HTTP)IN OUT

Pa

rse

rsThe 3 pillars of content analytics:

1. Languages

2. Industry specific annotations

3. Industry specific documents