Application scenarios
SMS SMS content security detection, content security detection

Capability characteristics
Precision intelligence
Based on the in-depth learning framework independently developed by Baidu, it has excellent feature learning ability and anti-interference ability, and is very suitable for tasks such as spam SMS detection and SMS content classification. Relying on Baidu's years of hard work and accumulated knowledge and experience in the field of Chinese natural language processing, the system uses tens of millions of data to train the deep neural network model through optimizing the network training speed and performance. At present, the accuracy rate of junk message recognition has reached 99.5%, and the recall rate has reached 99.0%; It can accurately classify the content of short messages, and support 12 categories, including fraud, pornography, illegal, advertising, intermediary, short message notification, verification code, etc
Adaptive model
SMS content, especially junk SMS content, not only has the characteristics of strong timeliness, but also deliberately changes the usage of common sentences to fight against the interception of anti spam systems. In order to improve the call admission rate more effectively, in addition to adopting deep learning technology, Baidu also has the ability to update in real time at the system level, which can update and modify the model in time for newly generated spam messages and user reported messages, and improve the system performance
Simple access
The SDK uses the HTTP protocol RESTful style interface, which is simple and fast to use, and can effectively reduce the use cost and maintenance cost. Without additional training for technical personnel, customers can easily and quickly introduce the spam SMS interception&precise classification function into their own business
product price
Package name Number of queries Call frequency Effective time Price
Trial package 500 times 2 times/second January 0 yuan
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