DiTing Intelligent Content Review Service

The DiTing Intelligent Content Review System is a comprehensive risk control product for multimedia content. Relying on years of research and application experience in the field of artificial intelligence, it provides users with full-stack content security solutions based on key technologies such as deep language models, active learning, and incremental learning. With massive data and industry experience, it develops its own content security risk control system and continuously optimizes model algorithms to solve problems with content review. Provide customers with professional and reliable security services to ensure the safe operation of customers' business in all aspects.

Based on massive sample data and industry-leading natural language processing technology, we customize exclusive intelligent strategies to efficiently identify illegal texts such as advertisements, politics, and corruption. It covers various texts such as social chats, video captions, long forum articles, nicknames/signatures, and messages/comments in various scenarios such as game operation, social networking, and media. The core advantage of listening to text review is that it has cutting-edge technical algorithms, a complete data system, and comprehensive security services to ensure the security of text content in three dimensions, multiple levels, and a wide range of fields.

Compared with traditional content review, intelligent content review can actively follow up on hot changes, enrich the blocking thesaurus, and process large amounts of platform data in a short period of time, improving review efficiency and reducing the human and material costs required for review.

In addition, Listen provides users with a customized review function to help users flexibly configure various audit indicators to meet the different business needs of users, improve the quality of the review through manual confirmation of suspected illegal content by the machine, and avoid system misreviews and omissions. In terms of access, Listen provides users with three types of access methods: online inspection, API interface, and private deployment, to return test results in real time, ensure the stability and smoothness of the system, and ensure the health and safety of network communication content.