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.)
Emails exchanged by customers and the company’s customer service agents
Social media posts containing the name of the company or its products
A publicly available collection of news articles
A publicly available collection of customer reviews
Product sales revenue figures for the company
Instruction manuals for the company’s products
I infer that the answer is:
Emails exchanged by customers and the company’s customer service agents
I gauge that the answer is:
Emails exchanged by customers and the company’s customer service agents