I'm currently using aws lambda to trigger an amazon comprehend job, but the code is only used to run one piece of text under sentiment analysis.
import boto3
def lambda_handler(event, context):
s3 = boto3.client("s3")
bucket = "bucketName"
key = "textName.txt"
file = s3.get_object(Bucket = bucket, Key = key)
analysisdata = str(file['Body'].read())
comprehend = boto3.client("comprehend")
sentiment = comprehend.detect_sentiment(Text = analysisdata, LanguageCode = "en")
print(sentiment)
return 'Sentiment detected'
I want to run a file where each line in the text file is a new piece of text to analyze with sentiment analysis (it's an option if you manually enter stuff into comprehend), but is there a way to alter this code to do that? And have the output sentiment analysis file be placed into that same S3 bucket? Thank you in advance.