Sentiment Analysis using AWS Comprehend & Lambda
Design a serverless sentiment analysis system leveraging AWS services. Requirement Gather the input text (that could be a comment or a feedback on a survey, etc) and feed it into a compute service that figures out the sentiment from the text & saves it into a database. Glossary SQS: It is a managed message queuing service that lets enables us to decouple and scale serverless applications by sending, storing, and receiving messages. Lambda: It is a serverless compute service that allows us to run code without managing servers and worrying about scaling. Comprehend: It is an NLP service that helps us extract key phrases, sentiment, PII, syntax, entities, identify language, and more. RDS: It is a managed relational DB service that simplifies setting up, operating & scaling relational databases on cloud (AWS). Design Solution Implementation Plan An SQS queue that stores messages and triggers Lambda function. The Lambda function processes the message body and invokes Comprehend to infer the sentiment from the text. Finally the Lambda function stores the text and inferred sentiment into a table in RDS. RDS table schema Follow me on my socials Linkedin: https://www.linkedin.com/in/anmol-pal/ Github: https://github.com/anmol111pal Twitter/X: https://x.com/anmol111pal

Design a serverless sentiment analysis system leveraging AWS services.
Requirement
Gather the input text (that could be a comment or a feedback on a survey, etc) and feed it into a compute service that figures out the sentiment from the text & saves it into a database.
Glossary
SQS: It is a managed message queuing service that lets enables us to decouple and scale serverless applications by sending, storing, and receiving messages.
Lambda: It is a serverless compute service that allows us to run code without managing servers and worrying about scaling.
Comprehend: It is an NLP service that helps us extract key phrases, sentiment, PII, syntax, entities, identify language, and more.
RDS: It is a managed relational DB service that simplifies setting up, operating & scaling relational databases on cloud (AWS).
Design Solution
Implementation Plan
An SQS queue that stores messages and triggers Lambda function.
The Lambda function processes the message body and invokes Comprehend to infer the sentiment from the text.
Finally the Lambda function stores the text and inferred sentiment into a table in RDS.
RDS table schema
Follow me on my socials
Linkedin: https://www.linkedin.com/in/anmol-pal/
Github: https://github.com/anmol111pal
Twitter/X: https://x.com/anmol111pal