[Retracted] Construction of Machine Learning Model Based on Text Mining and Ranking of Meituan Merchants

Table 2

Model corresponding algorithm.

Input: a group of low-frequency phrases in the phrase pattern, all comments of the whole corpus
Output: low-frequency keyword sorting list:
1) Divide the comments into restaurants and backgrounds
2) Divide restaurant comments into usefulness and uselessness
3) Generate target vector and background vector
4) Perform the algorithm and calculate the scoring value
5) Arrange L in ascending order