An online community wants to automatically detect and filter inappropriate user-generated content such as offensive language and adult images.
Which type of AI workload is best suited to address this need?
Content Moderation
Knowledge Mining
Document Intelligence
Personalization
Content Moderation workloads are specifically designed to detect and filter inappropriate or offensive content in text, images, and videos. They leverage AI models trained to recognize patterns associated with hate speech, profanity, nudity, and other forms of undesirable content. Therefore, content moderation is the best choice for automatically detecting and filtering inappropriate user-generated content.
Personalization workloads focus on tailoring content or recommendations to individual users based on their preferences and behavior, which does not address the need to filter inappropriate content.
Knowledge Mining involves extracting insights from large volumes of data, which is not directly related to content filtering.
Document Intelligence focuses on processing and analyzing documents to extract structured information, which is also not relevant to detecting inappropriate content in user submissions.
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