Text processing method and device
A text and collection technology, applied in the computer field, can solve problems such as poor text detection results, and achieve the effect of improving computer performance and speeding up
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[0029] It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and embodiments.
[0030] figure 1 is a flowchart of the main steps of the method for processing text according to the embodiment of the present application, such as figure 1 As shown, the method mainly includes the following steps:
[0031] Step S11: Get the text to be processed.
[0032] Step S13: Calculate the similarity between the text segment to be processed and multiple text segments in the pre-stored text segment set to obtain multiple similarity values.
[0033] In this step, various existing or future string similarity comparison algorithms can be used for calculation. Examples of string similarity comparison algorithms are: Levenshtein Distance algorithm, LCS algorithm, vector product algorithm...
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