What is Content moderation
Content moderation using AI is employed to review user-generated content and ensure it is appropriate for public access. AI can review text content such as product or service reviews, customer service chat logs, social media postings, etc. on a large scale and across multiple channels in real-time. Using Natural Language Processing, AI can detect inappropriate content much faster than a human moderator and ensure it doesn’t slip under their radar. Using Skyl.ai AI Platform you can quickly build and deploy custom content moderation ML models in hours.
Content Moderation Industry use cases:
MEDIA & PUBLISHING
Moderation of Reviews & Comments
User-generated content can have elements which can be inappropriate to certain users of the media. Strict regulations have also made it mandatory for publishers to moderate the content on their platforms. ML can help in this regard by screening the posts and content in real-time to adhere to the policy and standards
CUSTOMER SERVICE
Chat Moderation
Customer service platforms get a huge volume of chat messages from users. They face a tough task while dealing with toxic or offensive phrases from unhappy customers. The customer service industry uses NLP-based algorithms to analyze chat text in real-time and provide an immediate response to users. NLP is used to develop chat moderation solutions that detect normal messages and chats containing offensive language. These moderation solutions are more accurate and cost-effective than manual moderation systems.
E-COMMERCE
Product Review Moderation
Ecommerce sites use product review pages as a tool for customers to engage with the platform and provide feedback. The website has no control over the way customers can respond to good or bad products, but it can choose which reviews to be displayed on site. It is important to make sure that no inappropriate language or content is posted on the product review page. This can be ensured and screened by the Natural Language Processing capabilities of AI.
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