Network Sensitive Word Detection Technology Based on DBNet and Improved Trie Tree Search
To further avoid minors from accessing harmful information on the internet,a network sensitive word detection method based on DBNet and improved Trie tree search is proposed.Among them,the text detection method based on DBNet network and the sensitive word detection method based on Trie tree.The experimental results show that compared with other text detection and recogni-tion methods,the designed text detection and recognition method has higher accuracy and can provide more accurate text information for subsequent sensitive word detection;Compared with traditional sensitive word detection methods,the sensitive word detection method based on DBNet and improved Trie tree search has higher detection accuracy,with detection accuracy,missed detection rate,and false detection rate of 89.12％,5.80％,and 6.12％,respectively.In summary,it can be seen that the designed sensitive word detection method has good detection performance and high accuracy,and can be applied to practical network information sensitive word detection,protecting minors from accessing harmful information in the network,and has certain feasibility.
protection of minorssensitive word detectionDBNetTrie tree
NETL
NSTL
万方数据
