A text processing method, characterized by comprising: performing text processing on first text, by using a text processing acceleration operator, wherein the text processing acceleration operator is able to perform a series of text processing on a plurality of string texts, to obtain content of integer format corresponding to each string text; and processing, in parallel and faster, content after the text processing, by using the text processing acceleration operator; wherein performing the text processing on the first text, by using the text processing acceleration operator, comprises: obtaining a first tensor corresponding to the first text, comprising obtaining a tensor expression of the first text to convert the first text into the first tensor; wherein the first text comprises a first string, the first tensor is a string tensor and comprises N lines of string, and N is a positive integer; segmenting the first tensor, to obtain a plurality of segmentation results, wherein the plurality of segmentation results comprise a plurality of segmented words and/or phrases; performing identifier mapping on each of the plurality of segmentation results; and generating a second tensor, by using the mapping result, comprising: obtaining each line of numeric value of the second tensor, according to a result of mapping of a corresponding line of string of the first tensor, wherein the second tensor is an integer tensor, and the second tensor comprises N lines of numeric value corresponding to the N lines of string; wherein processing, in parallel and faster, the content after the text processing, by using the text processing acceleration operator, comprises: processing in parallel the second tensor, by using multiple threads, comprising processing in parallel a plurality of lines of numeric value of the second tensor. performing text processing on first text, by using a text processing acceleration operator, wherein the text processing acceleration operator is able to perform a series of text processing on a plurality of string texts, to obtain content of integer format corresponding to each string text; and processing, in parallel and faster, content after the text processing, by using the text processing acceleration operator; wherein performing the text processing on the first text, by using the text processing acceleration operator, comprises: obtaining a first tensor corresponding to the first text, comprising obtaining a tensor expression of the first text to convert the first text into the first tensor; wherein the first text comprises a first string, the first tensor is a string tensor and comprises N lines of string, and N is a positive integer; segmenting the first tensor, to obtain a plurality of segmentation results, wherein the plurality of segmentation results comprise a plurality of segmented words and/or phrases; performing identifier mapping on each of the plurality of segmentation results; and generating a second tensor, by using the mapping result, comprising: obtaining each line of numeric value of the second tensor, according to a result of mapping of a corresponding line of string of the first tensor, wherein the second tensor is an integer tensor, and the second tensor comprises N lines of numeric value corresponding to the N lines of string; obtaining a first tensor corresponding to the first text, comprising obtaining a tensor expression of the first text to convert the first text into the first tensor; wherein the first text comprises a first string, the first tensor is a string tensor and comprises N lines of string, and N is a positive integer; segmenting the first tensor, to obtain a plurality of segmentation results, wherein the plurality of segmentation results comprise a plurality of segmented words and/or phrases; performing identifier mapping on each of the plurality of segmentation results; and generating a second tensor, by using the mapping result, comprising: obtaining each line of numeric value of the second tensor, according to a result of mapping of a corresponding line of string of the first tensor, wherein the second tensor is an integer tensor, and the second tensor comprises N lines of numeric value corresponding to the N lines of string; wherein processing, in parallel and faster, the content after the text processing, by using the text processing acceleration operator, comprises: processing in parallel the second tensor, by using multiple threads, comprising processing in parallel a plurality of lines of numeric value of the second tensor.