作者: Jung-Ho Park , Jung-Pil Ha
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摘要: A system of analyzing a large document-based propensity over query language is disclosed. In the language, correlated words and sentences on inputted by user are searched basis on-line or off line documents general report relationship among corresponding documents, sentences, appearance frequency recent so provided to user, whereby it can previously predict (the positive image, negative image Non-Applicable), related word based importance tendency change through result document analysis generating for predetermined period according user.