EA (Evolutionary Algorithm)-based English text clustering method
A text clustering and evolutionary algorithm technology, which is applied in text database clustering/classification, unstructured text data retrieval, calculation, etc., can solve problems such as too many classes and clustering failure to converge, and achieve accurate clustering division , clear thinking, clear algorithm expression effect
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[0027] The present invention takes text mining as the background, clusters multiple English texts, and the purpose is to obtain more valuable information according to different categories. figure 1 Perform text preprocessing and vectorization; according to figure 2 Clustering between texts. Specific examples are as follows:
[0028] 1. Split each of the 4 texts into words, and analyze the length of the words in each text; delete words with a length less than 2, and delete stop words;
[0029] 2. Count the total number of words in the 4 texts, the number of each word in each text, and calculate the word frequency f of the word a in the text i (d), judge whether the word a appears in the text, and mark it as 1 if it has appeared; mark it as 0 if it has not appeared, and count the number of texts in which word a has appeared; here, take the No. 1 text D1 as an example, D1's The total number of words is 1000, the word a appears in 3 texts, the word b appears in 3 texts, the wo...
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