When transcribing a customer support call and wishing to retain profane language while marking it, which profanity filtering method should be used?

Prepare for the Oracle Cloud Infrastructure AI Foundations Associate Exam with our comprehensive study guide. Use flashcards and multiple choice questions to enhance your learning. Gain confidence and get ready for your certification!

Tagging is the appropriate method to use when transcribing a customer support call and wanting to retain profane language while marking it. This approach allows the profanity to be left in the transcript but clearly indicates its presence, typically by enclosing the offensive words in tags or labels. For example, a transcript might show "This is some [profanity] language" instead of fully censoring or deleting the word, thus preserving the context while indicating that a profane term was used.

This method is useful when the goal is to analyze the language for sentiment or tone while maintaining the original content's integrity. It is particularly beneficial for customer service scenarios where understanding the customer's emotional state is critical, but you still want to be conscious of the language used. In contrast, other methods like redaction, replacement, or deletion would remove or obscure the profane language, which could negate the context or emotional weight of the conversation.

Subscribe

Get the latest from Examzify

You can unsubscribe at any time. Read our privacy policy