Topic 1 Question 170
3 つ選択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?
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
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コメント(4)
- 正解だと思う選択肢: ABD
ABD; Email exchange between customer and customer service would be valuable data source.
👍 25spaceexplorer2022/04/30 I think ABE or maybe(!) ABF A & B -> for sure C -> No glue how this should help D -> We have already reviews!? E -> Could help to find correlations between negative / positive reviews and sales F -> non-sense in the first moment and second as well, but maybe it could help to combine the information of Email, Social and Reviews to some problems.
👍 3f4bi4n2022/06/19- 正解だと思う選択肢: ABD
A: Emails exchanged by customers and the company's customer service agents can provide additional customer feedback and opinions about the products or services. This data can be used to improve the ML model.
B: Social media posts containing the name of the company or its products can provide additional customer feedback and opinions about the products or services, which can be used to improve the ML model.
D: A publicly available collection of customer reviews can be used to augment the existing dataset of reviews and increase the size of the dataset. This can help to improve the accuracy of the ML model.
👍 3AjoseO2023/02/19
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