Sentiment Analysis using AWS Comprehend | Text Analysis | Python Code | Complete Solution with Demo

Detect Face AWS Rekognition
Detect Negative Sentiment in a text stored in AWS Dynamodb table
Text Analysis using AWS Comprehend

Stack used :
AWS Lambda | Python code
Python library for AWS Rekognition
AWS Dynamo db
AWS IAM
AWS Comprehend
AWS S3
AWS Rekognition
AWS Cloudwatch



Chapters

00:00 Intro
00:08 Architecture
00:15 Create IAM role
00:25 IAM role add permissions for AWS rekognition
01:28 Lambda General Configuration & python code
02:01 Add dynamo db trigger in Lamda
04:18 Python code to comprehend dynamo db items
06:33 Python code to update dynamodb table items
07:46 create python package and upload to lambda | execute lambda
10:30 sentiment analysis response in lambda
11:30 create sample event for lambda execution
11:34 Demo
12:04 change sentiments in text of dynamo db item (event trigger)
12:56 Cloudwatch logs
13:22 Checked records json in cloudwatch (record updated)
17:16 delete cloudwatch older logs streams
19:17 Negative sentiment detected in response (cloudwatch logs)
19:32 Demo of detect face from images in S3


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