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Create Advanced Text Analytics Solutions with NLP - BDA310 - New York AWS Summit.pdf

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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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Create Advanced Text Analytics Solutions with NLP - BDA310 - New York AWS Summit.pdf

  1. 1. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Nino Bice Product, Amazon Comprehend Ben Snively Principal Service Architect, AWS BDA 310 Building Advanced Text Analytics Apps
  2. 2. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
  3. 3. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
  4. 4. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
  5. 5. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Amazon Comprehend AWS Text Analytics
  6. 6. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. 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
  7. 7. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Amazon Comprehend A fully managed and continuously trained service that helps you analyze and organize unstructured text
  8. 8. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
  9. 9. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. 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
  10. 10. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. 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
  11. 11. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. 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.
  12. 12. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. 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
  13. 13. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Intelligent DW/DB Comprehend and Amazon RDS
  14. 14. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Demo
  15. 15. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Semantic Graph Analysis Comprehend and Neptune
  16. 16. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Demo
  17. 17. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Semantic Search Comprehend and Elasticsearch
  18. 18. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Demo
  19. 19. Submit Session Feedback 1. Tap on the Agenda icon 2. Select the session you attended 3. Tap on Session Evaluation to submit your feedback
  20. 20. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.

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