Method for large-scale feature matching of text content or network content analyses
A network content and feature matching technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problems of not being able to directly and effectively use text or network content, and not taking into account the uneven probability of characters, etc., to achieve easy management and practical applications, stable search rate and matching time, and high operating efficiency
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[0030] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.
[0031] Such as figure 1 As shown, the method for large-scale feature matching according to an embodiment of the present invention includes steps:
[0032] S1. Read in all feature strings and create a double hash table.
[0033] S2. Establish a finite state machine in the hash table.
[0034] S3. Convert the finite state machine in the hash table into a double array structure for storage.
[0035] S4. Text matching search.
[0036] Wherein, step S2 and step S3 are cyclically and alternately executed.
[0037] Wherein, step S1 further includes:
[0038] S1.1 Read all feature strings {lightweight,facebook,globalcom,microsoft,sunshine,moonlight,starlight} in sequence, an...
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