Sensitive word filtering method and system
A filtering system and filtering method technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problems of single matching mode of sensitive words, low matching strategy performance, wrong matching of sensitive words, etc., and achieve high recall rate , improve the recall rate, and reduce the effect of misjudgment
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Embodiment 1
[0034] Example 1: Figure 4 It is a flow chart of the sensitive word filtering method provided by the embodiment of the present invention. It can be clearly seen from the figure that the sensitive word filtering method provided by this embodiment includes the following steps:
[0035] S1. Standardize sensitive words, excluded words, and text characters, form sensitive word management rules for normalized processing of sensitive words, and form excluded word management rules for standardized processing of excluded words;
[0036] S2. Establish a sensitive word filtering model according to the sensitive word management rules and excluded word management rules, and use the sensitive word filtering model to scan the characters or word segments of the normalized text;
[0037] S3. According to the sensitive word filtering strategy, match the sensitive word filtering model with the scanned characters or participles, and judge whether the characters or participle are sensitive words ...
Embodiment 2
[0042] Example 2: figure 1 It is a block diagram of the sensitive word filtering system provided by the embodiment of the present invention. It can be clearly seen from the figure that the technical framework of the sensitive word filtering system provided by the present embodiment includes four main modules: character normalization processing module 101, sensitive Word management module 102, excluded word management 103, sensitive word filter module 104, wherein, module 102,103 is depended on module 101, realizes the standardization process to sensitive word and excluded word, and module 104 depends on module 101, realizes to text For normalization processing, module 104 relies on modules 102 and 103 to obtain sensitive words and excluded words and construct an Aho-Corasick automaton.
[0043] Further, module 104 includes 6 filtering submodules and 1 filtering result summary submodule: default sensitive word filtering submodule 105, English sensitive word filtering submodule ...
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