5. The method as described in claim 1 , further comprising establishing the threshold value dictionary, including: performing a threshold value calculation based on the textual characteristic factor and the data analysis characteristic factor to acquire a dynamic threshold score for each search term; and saving the search term and the dynamic threshold score of each search term in a data dictionary format to the threshold value dictionary, wherein: the textual characteristic factor is a characteristic weight matched to the search term and the data information; and the data analysis characteristic factor is an analytic parameter characteristic weight corresponding to the search term.
5. The method as described in claim 1 , further comprising establishing the threshold value dictionary, including: performing a threshold value calculation based on the textual characteristic factor and the data analysis characteristic factor to acquire a dynamic threshold score for each search term; and saving the search term and the dynamic threshold score of each search term in a data dictionary format to the threshold value dictionary, wherein: the textual characteristic factor is a characteristic weight matched to the search term and the data information; and the data analysis characteristic factor is an analytic parameter characteristic weight corresponding to the search term. 6. The method as described in claim 5 , wherein the performing of the threshold value calculation based on the textual characteristic factor and the data analysis characteristic factor to acquire the dynamic threshold score for each search term comprises: employing a linear regression model, Score 0 =F 0 (f 1 , f 2 , . . . ,fi), to perform a fitting calculation and to acquire a first threshold score, Score 0 , for the search term, wherein fi is a textual characteristic factor corresponding to the search term, i is an integer less than or equal to N, and N is a natural number; employing a linear regression model, Score 1 =F 1 (f′ 1 , . . . , f′ k ), to perform fitting calculations and to acquire a second threshold score, Score 1 , for the search term, wherein f ′ k is a data analysis characteristic factor corresponding to the search term, k is an integer less than or equal to M, and M is a natural number; and performing a fitting calculation based on the linear regression model Score =F(score 0 , score 1 )×p 1 ×p 2 to acquire the dynamic threshold score for the search term, wherein p 1 is a duty cycle of the first threshold score and p 2 is a duty cycle of the second threshold score.