1000+ three-level content labeling system, in-depth review scenarios in different industries, providing efficient, refined and comprehensive personalized content review solutions
Deep integration of Fasttext, HMM, CRF, Word2Vec and other NLP technologies and continuous innovation, the accuracy rate is 99%
Real-time tracking of public opinion combined with case analysis to drive optimization, hour-level update of incremental model, and iterative upgrade at all times
Accurate detection of obscenity, seduction, pornographic insinuation, soft pornography, child pornography and other pornographic content, support pornographic classification
Accurately identify illegal items and violations such as gambling, knives, guns, drugs, counterfeiting, and counterfeiting
Accurately identify insulting content such as insults, abuse, and defamation in various scenes
Accurately identify spam content such as platform information flooding, screen swiping, meaningless, etc. that appear on the platform
Accurately identify content that uses WeChat ID, mobile phone number, QQ, Whatsapp, etc. to publish illegal spam advertisements
Accurately identify the text semantics of various emoji expressions and character expression forms
Support customer-defined sensitive thesaurus, through literal and semantic comprehensive judgment, to filter illegal content in a targeted manner