12. A target word recognition system, comprising: one or more processors configured to: obtain a candidate word set and corresponding characteristic computation data, the candidate word set comprising text data, and characteristic computation data being associated with the candidate word set; perform segmentation of the characteristic computation data to generate a plurality of text segments; combine the plurality of text segments to form a text data combination set; determine an intersection of the candidate word set and the text data combination set, the intersection comprising a plurality of text data combinations; determine a plurality of designated characteristic values for the plurality of text data combinations; determine a criterion, including: obtain a training sample word set and sample characteristic computation data, the sample characteristic computation data comprising a plurality of sample words and designated characteristic values of the plurality of sample words; obtain a sample text data combination set based on the plurality of sample words; determine a plurality of designated characteristic values of sample text data combinations in an intersection of the sample text data combination set and the training sample word set; and set a threshold value of a designated characteristic value of a sample text data combination in the intersection as a part of the criterion; and based at least in part on the plurality of designated characteristic values for the plurality of text data combinations and according to at least the criterion, recognize among the plurality of text data combinations, target words whose characteristic values fulfill the criterion; and one or more memories coupled to the one or more processors, configured to provide the one or more processors with instructions.
12. A target word recognition system, comprising: one or more processors configured to: obtain a candidate word set and corresponding characteristic computation data, the candidate word set comprising text data, and characteristic computation data being associated with the candidate word set; perform segmentation of the characteristic computation data to generate a plurality of text segments; combine the plurality of text segments to form a text data combination set; determine an intersection of the candidate word set and the text data combination set, the intersection comprising a plurality of text data combinations; determine a plurality of designated characteristic values for the plurality of text data combinations; determine a criterion, including: obtain a training sample word set and sample characteristic computation data, the sample characteristic computation data comprising a plurality of sample words and designated characteristic values of the plurality of sample words; obtain a sample text data combination set based on the plurality of sample words; determine a plurality of designated characteristic values of sample text data combinations in an intersection of the sample text data combination set and the training sample word set; and set a threshold value of a designated characteristic value of a sample text data combination in the intersection as a part of the criterion; and based at least in part on the plurality of designated characteristic values for the plurality of text data combinations and according to at least the criterion, recognize among the plurality of text data combinations, target words whose characteristic values fulfill the criterion; and one or more memories coupled to the one or more processors, configured to provide the one or more processors with instructions. 14. The system of claim 12 , wherein the characteristic computation data is obtained from descriptions of search results in response to user-inputted query keywords to a website.