Question

An e-commerce platform is looking for a more efficient way to categorize survey results and social media interactions to learn what makes their customers happy or frustrated.

which technique will be helpful for them in this case?
A. predictive analysis
B. intrusive automation
C. personal automation
D. sentiment analysis

Answer 1

D. Sentiment Analysi

Step-by-step explanation:

In this case, sentiment analysis would be the most helpful technique. Sentiment analysis involves using natural language processing and machine learning to determine the emotional tone behind text data, such as survey responses and social media interactions. By analyzing the sentiment expressed in customer feedback, the e-commerce platform can gain insights into whether customers are happy or frustrated with their products or services. This information can be invaluable for making informed business decisions and improving customer satisfaction.

Answer 2

sentiment analysis

Step-by-step explanation:

sentiment analysis is analysis the *emotional* analysis of the customer for the better knowing of customer reviews