opentext content analytics - quick introduction
DESCRIPTION
TRANSCRIPT
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