AI-900 Question 23
Select 3A company wants to implement a solution to automatically analyze customer feedback from emails, extract key topics, and determine the sentiment (positive, neutral, or negative) of each email. Which of the following workloads would be appropriate for this scenario?
- A
Sentiment analysis
- B
Text translation
- C
Key phrase extraction
- D
Speech-to-text transcription
- E
Named entity recognition
Show answer and explanation
Correct answers: A, C, E
Explanation
The company’s goal involves analyzing written text from emails to extract key topics and understand the sentiment of the feedback. Sentiment analysis is crucial for determining the emotional tone of the emails, while key phrase extraction identifies the main topics. Named entity recognition is also relevant because it can extract specific entities that contribute to understanding the content of the emails. Text translation and speech-to-text transcription are not applicable in this scenario as they are unrelated to the described tasks.
- A. Correct.
Sentiment analysis is used to determine the emotional tone (positive, neutral, or negative) of text, which is a key requirement in the scenario.
- B. Incorrect.
Text translation is not relevant in this scenario because there is no mention of needing to translate the emails into another language.
- C. Correct.
Key phrase extraction helps identify the main topics or key ideas from the text, which aligns with the requirement to extract key topics from emails.
- D. Incorrect.
Speech-to-text transcription converts spoken audio into text, but the scenario is focused on analyzing written emails, not audio.
- E. Correct.
Named entity recognition identifies specific entities like names, dates, or locations in text. It can complement the analysis by extracting relevant details from the emails, but in this case, it directly supports the task of identifying key topics.