Semiotic indexing of digital resources
First Claim
1. A method of classifying a plurality of documents, comprising:
- providing a first set of classification terms and a second set of classification terms, the second set of classification terms being different from the first set of classification terms;
generating a first frequency array of a number of occurrences of each term from the first set of classification terms in each document;
generating a second frequency array of a number of occurrences of each term from the second set of classification terms in each document;
generating a first similarity matrix from the first frequency array;
generating a second similarity matrix from the second frequency array;
determining an entrywise combination of the first similarity matrix and the second similarity matrix; and
clustering the plurality of documents based on the result of the entrywise combination.
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Abstract
A method of classifying a plurality of documents. The method includes steps of providing a first set of classification terms and a second set of classification terms, the second set of classification terms being different from the first set of classification terms; generating a first frequency array of a number of occurrences of each term from the first set of classification terms in each document; generating a second frequency array of a number of occurrences of each term from the second set of classification terms in each document; generating a first similarity matrix from the first frequency array; generating a second similarity matrix from the second frequency array; determining an entrywise combination of the first similarity matrix and the second similarity matrix; and clustering the plurality of documents based on the result of the entrywise combination.
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Citations
48 Claims
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1. A method of classifying a plurality of documents, comprising:
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providing a first set of classification terms and a second set of classification terms, the second set of classification terms being different from the first set of classification terms; generating a first frequency array of a number of occurrences of each term from the first set of classification terms in each document; generating a second frequency array of a number of occurrences of each term from the second set of classification terms in each document; generating a first similarity matrix from the first frequency array; generating a second similarity matrix from the second frequency array; determining an entrywise combination of the first similarity matrix and the second similarity matrix; and clustering the plurality of documents based on the result of the entrywise combination. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24)
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25. A computer-based system for classifying a plurality of documents, the system comprising:
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a processor; and a storage medium operably coupled to the processor, wherein the storage medium includes, program instructions executable by the processor for providing a first set of classification terms and a second set of classification terms, the second set of classification terms being different from the first set of classification terms; generating a first frequency array of a number of occurrences of each term from the first set of classification terms in each document; generating a second frequency array of a number of occurrences of each term from the second set of classification terms in each document; generating a first similarity matrix from the first frequency array; generating a second similarity matrix from the second frequency array; determining an entrywise combination of the first similarity matrix and the second similarity matrix; and clustering the plurality of documents based on the result of the entrywise combination. - View Dependent Claims (26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48)
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Specification