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Question 210 - MLS-C01 discussion

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A retail company is selling products through a global online marketplace. The company wants to use machine learning (ML) to analyze customer feedback and identify specific areas for improvement. A developer has built a tool that collects customer reviews from the online marketplace and stores them in an Amazon S3 bucket. This process yields a dataset of 40 reviews. A data scientist building the ML models must identify additional sources of data to increase the size of the dataset.

Which data sources should the data scientist use to augment the dataset of reviews? (Choose three.)

A.
Emails exchanged by customers and the company's customer service agents
Answers
A.
Emails exchanged by customers and the company's customer service agents
B.
Social media posts containing the name of the company or its products
Answers
B.
Social media posts containing the name of the company or its products
C.
A publicly available collection of news articles
Answers
C.
A publicly available collection of news articles
D.
A publicly available collection of customer reviews
Answers
D.
A publicly available collection of customer reviews
E.
Product sales revenue figures for the company
Answers
E.
Product sales revenue figures for the company
F.
Instruction manuals for the company's products
Answers
F.
Instruction manuals for the company's products
Suggested answer: A, B, D

Explanation:

The data sources that the data scientist should use to augment the dataset of reviews are those that contain relevant and diverse customer feedback about the company or its products. Emails exchanged by customers and the company's customer service agents can provide valuable insights into the issues and complaints that customers have, as well as the solutions and responses that the company offers. Social media posts containing the name of the company or its products can capture the opinions and sentiments of customers and potential customers, as well as their reactions to marketing campaigns and product launches. A publicly available collection of customer reviews can provide a large and varied sample of feedback from different online platforms and marketplaces, which can help to generalize the ML models and avoid bias.

References:

Detect sentiment from customer reviews using Amazon Comprehend | AWS Machine Learning Blog

How to Apply Machine Learning to Customer Feedback

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asked 16/09/2024
Dubravko Jerkovic
33 questions
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