NCA-GENL Question 119
Select 3A team is tasked with analyzing a large dataset of customer reviews to extract insights about product satisfaction. They decide to use data visualization and data mining techniques to uncover trends and patterns. Which of the following steps are most appropriate for extracting meaningful insights in this scenario?
- A
Use clustering algorithms to group similar customer reviews based on sentiment and topics.
- B
Generate scatter plots and heatmaps to visually identify correlations between product features and satisfaction scores.
- C
Apply dimensionality reduction techniques to eliminate noise and focus on key factors influencing customer sentiment.
- D
Manually read through all customer reviews to identify recurring themes and trends.
- E
Train a generative AI model to create synthetic reviews and compare them with the actual data.
Show answer and explanation
Correct answers: A, B, C
Explanation
Extracting insights from large datasets requires the use of automated and scalable techniques such as data mining and data visualization. Clustering can group similar data points, while visualization tools help identify correlations and patterns. Dimensionality reduction helps to simplify the data and focus on the most impactful factors. Manual review and unrelated tasks like generating synthetic data are inefficient or irrelevant in this context.
- A. Correct.
Clustering algorithms are a data mining technique that can group similar reviews, making it easier to identify patterns related to sentiment or topics in the dataset.
- B. Correct.
Scatter plots and heatmaps are effective data visualization tools for identifying correlations and trends in the dataset, such as the relationship between product features and satisfaction scores.
- C. Correct.
Dimensionality reduction techniques, such as PCA, are useful for eliminating noise and focusing on the most meaningful variables in large datasets.
- D. Incorrect.
Manually reading through all reviews is impractical for large datasets and does not leverage data mining or visualization techniques to extract insights efficiently.
- E. Incorrect.
Training a generative AI model to create synthetic reviews is not relevant to the task of analyzing existing customer reviews for insights.