How to efficiently filter massive sensitive words?

PHP efficient sensitive word filtering: dictionary tree scheme

In text processing, sensitive word filtering is a common requirement. Small-scale sensitive vocabulary can be circulated directly, but it is inefficient when facing large libraries of tens of thousands or even hundreds of thousands of entries. This article introduces efficient solutions based on dictionary trees (Trie trees).

The efficiency of loop matching large sensitive thesaurus is extremely inefficient. The dictionary tree is an optimization scheme with an average search time complexity of O(m) (m is the average length of sensitive words), which is much better than the O(n*m) of loop search (n is the number of sensitive words).

Dictionary trees reduce storage and lookup time using string common prefixes. Each node represents a character, and the root node to the leaf node path constitutes a sensitive word. When searching, traverse along the tree and find the leaf node, the match will be successful. This method avoids repeated character comparisons and significantly improves efficiency.

PHP implementation can use an off-the-shelf dictionary tree library (specific links are omitted here, developers can search for them by themselves). After loading the sensitive thesaurus into the dictionary tree, iterate through the text to be filtered, match using the dictionary tree, and perform labeling or replacement operations. This will enable efficient filtering and labeling of sensitive words.

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