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

Active Publication Date: 2013-11-27
TSINGHUA UNIV
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Problems solved by technology

These algorithms do not take into account the serious problems caused by the uneven occurrence probability of characters in the pat

Method used

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  • Method for large-scale feature matching of text content or network content analyses
  • Method for large-scale feature matching of text content or network content analyses
  • Method for large-scale feature matching of text content or network content analyses

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Embodiment Construction

[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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Abstract

The invention provides a method for large-scale feature matching of text content or network content analyses. The method comprises the first step of reading in all feature strings and building double hash tables, the second step of building a finite-state machine in each hash table, the third step of transforming the finite-state machine in each hash table into an even number set structure to be stored, and the fourth step of carrying out matching searching on text content or network content. By means of the method, the matching speed of the text content or network content analyses can be effectively improved, and memory consumption is reduced.

Description

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Claims

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Application Information

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Owner TSINGHUA UNIV
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