Content Abuse Detection

Assisting website to identify and filter spams, venomous speeches, fraud information and other illegal UGC content, thus purifying website content, maintaining the order of websites, and protecting the information security and reputation of websites.

・Product Features

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Assisting websites to identify and filter spams, venomous speeches, fraud information and other illegal UGC content, thus purifying website content, maintaining the order of websites, and protecting the information security and reputation of websites.

・Application Scenarios

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Widely used in various websites with UGC content, such as BBS, SNS, mobile social networking, blogs and live broadcast platforms, which includes scenarios such as registration, login, post and replies, on-site mails and live barrage.

・Product Advantages

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Powerful text mutation recognition capability for recognizing similar Chinese characters, variant Chinese characters as well as special numeric and English symbols. For example, the conversion can be 威信->微信, 8③二9.101->8329101, or 扣扣->qq.

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Massive keyword stock supports custom word stock functions of clients.

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Semantic recognition model based on big data analysis conducts machine learning for different industries, so as to ensure the applicability of the models in different scenarios.

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Unique anti-spam model for live barrage scenarios can solve the problem of spam ads in the barrage scenarios in one click.

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Massive QQ, WeChat device fingerprint database can identify advertising information hiding in text precisely.

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Combining text recognition model and behavior recognition model, the system can resist ad posters with strong advantages.

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