About 80% of data held by an organization is unstructured—such as emails, social media feeds, news articles, and customer feedback—which makes it difficult to analyze and use. NLP and ML can help. Amazon Comprehend is an NLP service that uses ML to find insights and relationships in text. In this session, learn how to easily process, analyze, and visualize data by pairing Amazon Comprehend with Amazon RDS, Amazon Elasticsearch Service, and Amazon Neptune. Also see real-world examples of how customers have built advanced text analytics solutions with Amazon Comprehend.

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Nino Bice
Product, Amazon Comprehend
Ben Snively
Principal Service Architect, AWS
BDA 310
Building Advanced Text Analytics Apps

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Amazon Comprehend
AWS Text Analytics

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What’s the unstructured analysis opportunity?
• News Media
• Brand trends, correlating events
• Customer engagement
• Call center, issue triage, social media analytics
• Records and research
• Actionable document-centric processes, understand patterns

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Amazon Comprehend
A fully managed and continuously trained service that
helps you analyze and organize unstructured text

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Amazon Comprehend: Natural Language Processing
A m a z o n . c o m , I n c . i s l o c a t e d i n
S e a t t l e , WA a n d w a s f o u n d e d
J u l y 5 t h , 1 9 9 4 b y J e f f B e z o s .
O u r c u s t o m e r s l o v e b u y i n g
e v e r y t h i n g f r o m b o o k s t o
b l e n d e r s a t g r e a t p r i c e s
N a m e d E n t i t i e s
• A m a z o n . c o m :
O r g a n i z a t i o n
• S e a t t l e , W A : L o c a t i o n
• J u l y 5 t h , 1 9 9 4 : D a t e
• J e f f B e z o s : P e r s o n
K e y p h r a s e s
• O u r c u s t o m e r s
• b o o k s
• b l e n d e r s
• g r e a t p r i c e s
S e n t i m e n t
• P o s i t i v e
L a n g u a g e
• E n g l i s h

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Amazon Comprehend: Syntax API
O u r c u s t o m e r s l o v e b u y i n g
e v e r y t h i n g f r o m b o o k s t o
b l e n d e r s a t g r e a t p r i c e s
Token
(word)
Part of
Speech
Customers Noun
Love Verb
Books Noun
Great Adjective
Prices Noun

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Popular Text Analytics Use Cases
Content Personalization: Customers are using Comprehend NLP output to understand related documents
based on entities, phrases or even topic similarities for trends analysis, to drive content personalization and
recommendations
Semantic Search: Customers using Amazon Comprehend to index entities for boosting and ranking
search results.
Intelligent data warehouse: Customers are using Amazon Comprehend to query unstructured data in
relational databases, processing data within the data lake (Amazon S3) and then inserting it back into the
data warehouse
Social Analytics: Customers are using Amazon Comprehend to ingest, process and analyze trends from
entities and sentiment from social media posts across Twitter and Facebook.

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AWS Text Analytics Workload
Amazon Kinesis
Amazon ES
Amazon Redshift
Amazon EMR
• Semantic
• Rich Filtering
• Grouping, Trends
• Joining, Correlating
• Clustering
• Graph, Search
• Near real-time
• Alerts
Amazon S3
Social Media, Support
Amazon Aurora
Articles, Documents

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Intelligent DW/DB
Comprehend and Amazon RDS

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Demo

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Semantic Graph Analysis
Comprehend and Neptune

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Demo

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Semantic Search
Comprehend and Elasticsearch

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Demo

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