DOCUMENT CLASSIFICATION BASED ON MULTIPLE META-ALGORITHMIC PATTERNS

摘要

One example is a system including a plurality of summarization engines, a plurality of meta-algorithmic patterns, an extractor, and an evaluator. Each of the plurality of summarization engines receives a text document to provide a meta-summary of the text document. The extractor extracts at least one summarization term from the meta-summary. The extractor generates at least one class term for each given class of a plurality of classes of documents, the at least one class term extracted from documents in the given class. The evaluator determines similarity measures of the text document over each given class of documents of the plurality of classes, each similarity measure indicative of a similarity between the at least one summarization term and the at least one class term for each given class. The selector selects a class of the plurality of classes, the selecting based on he determined similarity measures.