Research Article
[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 | ā | 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 |
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