Designed with EdrawMax, this template illustrates the sentiment analysis process leveraging AWS services. Raw tweets are first sent from a Local PC to Amazon Kinesis Data Firehose, which then stores them in Amazon Simple Storage Service (S3) in "tweets buckets". An S3 event triggers AWS Lambda, which integrates with Amazon Comprehend for sentiment analysis. The analyzed data is sent back via Amazon Kinesis Data Firehose to S3 under the "Sentiment" folder. Amazon Athena queries the data from S3, which is then visualized by users through Amazon QuickSight. AWS Glue Data Catalog is used to manage metadata. This diagram serves as a visual guide for understanding how AWS services collaborate in a sentiment analysis pipeline.
