The company wants to move to AWS and wants to implement the following machine learning features:• Call transcription in multiple languages• Categorization of calls based on the transcript• Detection of the main customer issues in the calls• Customer sentiment analysis for each line of the transcript, with positive or negative indication and scoring of that sentimentWhich AWS solution will meet these requirements with the LEAST amount of custom model training?
Use Amazon Transcribe to process audio calls to produce transcripts, categorize calls, and detect issues. Use Amazon Comprehend to analyze sentiment.
Use Amazon Transcribe to process audio calls to produce transcripts. Use Amazon Comprehend to categorize calls, detect issues, and analyze sentiment
Use Contact Lens for Amazon Connect to process audio calls to produce transcripts, categorize calls, detect issues, and analyze sentiment.
Use Contact Lens for Amazon Connect to process audio calls to produce transcripts. Use Amazon Comprehend to categorize calls, detect issues, and analyze sentiment.
Explanations:
While Amazon Transcribe can produce transcripts and Amazon Comprehend can analyze sentiment, it cannot categorize calls and detect issues without additional custom training or setup, which is not optimal given the requirement for the least amount of custom model training.
Amazon Transcribe is correctly utilized for transcription, but Amazon Comprehend does not have built-in capabilities to categorize calls or detect specific issues directly from the transcripts without further customization or training.
Contact Lens for Amazon Connect provides an integrated solution that can handle call transcription, categorization, detection of customer issues, and sentiment analysis out of the box, minimizing the need for custom model training.
While Contact Lens can produce transcripts and Amazon Comprehend can analyze sentiment, it lacks the capability to categorize calls and detect issues directly within its offerings without additional configurations, which does not meet the requirement of minimizing custom training.