A text feature extraction method based on inter-class discrimination and intra-class high representation
A technology of feature extraction and discrimination, applied in text database query, unstructured text data retrieval, text database clustering/classification, etc. Large amount of problems, etc., to achieve the effect of providing computing speed and efficiency, and simple calculation
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[0076] Assume that there are 3 preset categories, namely category A, category B, and category C, wherein category A, category B, and category C respectively contain 10 articles belonging to their respective categories. Suppose now feature word 1 appears in 5 of the 10 articles belonging to category A, and also appears in 5 of the 10 articles belonging to categories B and C respectively. The distribution of the remaining feature words in each category is shown in Table 4 below:
[0077] Class A (10 articles) Class B (10 articles) Category C (10 articles) Characteristic word 1 5 5 5 Characteristic word 2 2 8 9 Characteristic word 3 10 3 1 Characteristic word 4 5 2 7 Characteristic word 5 1 6 8
[0078] Characteristic word 6 2 7 3
[0079] Table 4
[0080] According to Table 4, calculate the correlation R between each word and each predetermined classification jk , and the calculation results are show...
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