[{"data":1,"prerenderedAt":37},["ShallowReactive",2],{"repo-analyzing-sentiments-extracted-from-amazon-rekognition-using-amazon-athena-quicksight":3},{"id":4,"title":5,"contributors":6,"date":10,"description":11,"diagram":12,"extension":13,"framework":14,"gitHub":16,"introBox":19,"language":22,"meta":24,"resources":25,"services":28,"simplicity":32,"stem":33,"type":34,"usecase":35,"__hash__":36},"repos\u002Frepos\u002Fanalyzing-sentiments-extracted-from-amazon-rekognition-using-amazon-athena-quicksight.json","Analyzing sentiment extracted from Amazon Rekognition using Amazon Athena and QuickSight",[7,8,9],"content\u002Fcontributors\u002Fkhush-patel.json","content\u002Fcontributors\u002Fankit-patel.json","content\u002Fcontributors\u002Fnaimisha-pinna.json","2023-09-01","Use Amazon Rekognition to perform sentiment analysis on facial images.","\u002Fassets\u002Fimages\u002Frepos\u002Fanalyzing-sentiments-extracted-from-amazon-rekognition-using-amazon-athena-quicksight.png","json",[15],"AWS CloudFormation",{"template":17},{"repoURL":18},"https:\u002F\u002Fcatalog.us-east-1.prod.workshops.aws\u002Fworkshops\u002F3ace0b9e-e080-455e-a13f-c87c30a3a32d\u002Fen-US",{"headline":5,"text":20},[21],"This workshop demonstrates how you can use Amazon Rekognition to perform sentiment analysis on facial images. Analyzing facial sentiments of people in images can help you determine their mood & reactions. An extended use case for this can be gathering feedback from customers\u002Femployees in buildings and other places with video feeds.",[23],"Python",{},{"headline":26,"bullets":27},"Additional resources",[],[29,30,31],"lambda-event-functions","rekognition","s3","300","repos\u002Fanalyzing-sentiments-extracted-from-amazon-rekognition-using-amazon-athena-quicksight","Workshop","Backend","cmnrAEYafb5s-_ugMzsrVcW8NZfGuXp9_cSE8HCqAIw",1792578864612]