AIF-C01 Practice Question 61: Support Email Text Insights

AWS Certified AI Practitioner (AIF-C01) · Test 7 · question 1 of 10

Fundamentals of AI and MLeasy

A SaaS company receives about 4,000 free-text support emails a week. Product managers want, for each email, the overall sentiment and the list of product names, companies and places mentioned, so they can chart which themes drive complaints. The emails are already plain text, and the company has no ML engineers and wants to call a pre-trained model through an API. Which service fits?

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Answer:

B. Amazon Comprehend

Amazon Comprehend *uses natural language processing (NLP) to extract insights about the content of documents*, recognising entities, key phrases, language, sentiment and more. Its insight list includes Entities (references to names of people, places, items and locations), and Sentiment, returned as positive, neutral, negative or mixed. Comprehend's pre-trained model is *continuously trained on a large body of text so that there is no need for you to provide training data*, which matches a team with no ML engineers (option B).

- A is wrong because Amazon Textract's job is getting text *off* a scanned page, OCR plus forms and tables. The emails are already plain text, so there is nothing for Textract to extract. - C is wrong because Amazon Transcribe converts speech in audio and video into text. It would matter if the company were analysing recorded calls; it has nothing to do with email text. - D is wrong because Amazon Translate converts text between languages. It might sit in front of Comprehend for a multilingual inbox, but on its own it produces no sentiment and no entities.

Reference: What is Amazon Comprehend?

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