What combination of services is the MOST efficient to accomplish the task?
Amazon Transcribe, Amazon Translate, and Amazon Comprehend
Amazon Transcribe, Amazon Comprehend, and Amazon SageMaker seq2seq
Amazon Transcribe, Amazon Translate, and Amazon SageMaker Neural Topic Model (NTM)
Amazon Transcribe, Amazon Translate and Amazon SageMaker BlazingText
Explanations:
This combination effectively uses Amazon Transcribe to convert the Spanish audio to text, Amazon Translate to translate the text into English, and Amazon Comprehend to perform sentiment analysis on the translated text. This sequence is logical and utilizes the strengths of each service for the required task.
While Amazon Transcribe is used to transcribe the audio, Amazon Comprehend alone does not directly analyze sentiments from non-English languages without translation. Amazon SageMaker seq2seq is not necessary for this task, making this option inefficient.
This option includes Amazon Transcribe and Amazon Translate, but uses SageMaker Neural Topic Model, which is more suited for topic modeling rather than sentiment analysis. Thus, it doesn’t directly address the requirement for sentiment analysis effectively.
This combination uses Amazon Transcribe and Amazon Translate, but Amazon SageMaker BlazingText is primarily for text classification and not optimized for sentiment analysis without proper sentiment training. This option does not fully align with the task’s needs.