AIF-C01 · Question #191
A company wants to identify harmful language in the comments section of social media posts by using an ML model. The company will not use labeled data to train the model. Which strategy should the…
The correct answer is B. Use Amazon Comprehend toxicity detection. Amazon Comprehend provides pre-trained NLP models, including toxicity detection, to analyze text for harmful language. Since the company does not plan to use labeled data for training, Amazon Comprehend is a suitable choice because it does not require custom training and can…
Question
A company wants to identify harmful language in the comments section of social media posts by using an ML model. The company will not use labeled data to train the model. Which strategy should the company use to identify harmful language?
Options
- AUse Amazon Rekognition moderation.
- BUse Amazon Comprehend toxicity detection.
- CUse Amazon SageMaker built-in algorithms to train the model.
- DUse Amazon Polly to monitor comments.
How the community answered
(42 responses)- A7% (3)
- B76% (32)
- C2% (1)
- D14% (6)
Explanation
Amazon Comprehend provides pre-trained NLP models, including toxicity detection, to analyze text for harmful language. Since the company does not plan to use labeled data for training, Amazon Comprehend is a suitable choice because it does not require custom training and can automatically detect toxic or harmful content in comments.
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