An intelligent association method and system for official documents
A technology of association relationship and official documents, applied in the fields of unstructured text data retrieval, text database clustering/classification, instruments, etc., can solve the problem of inaccurate zoning and association relationship, achieve solid job experience and improve work efficiency , The effect of avoiding work errors and reducing the efficiency of official document processing
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Embodiment 1
[0029] like figure 1 As shown, an intelligent association method for official documents includes the following steps:
[0030] According to the title of the official document, the TF-IDF and TextRank algorithms are used to extract the key information of the title, and the keywords configured by the relevant system are matched to determine the type of association; the type of association is divided into three categories: the first category, title to title, including: Solicitation documents and reply letters, the second category: the title to the document content, including: request and approval, the third category: the document content to the document content, including: feasibility study review opinions and feasibility study approval opinions;
[0031] If it is a title-to-title association type, then: first extract the title of the file, extract the key word information, and index the file first when processing the content;
[0032] If it is a title to document content associ...
Embodiment 2
[0039] An intelligent association system for official documents, comprising:
[0040] The module for determining the type of association is used to extract the key information of the title by using TF-IDF and TextRank algorithms according to the title of the official document, and match the keywords configured by the relevant system to determine the type of association; the type of association is divided into three categories: the first category , title to title, including: solicitation document and reply letter, the second category: title to document content, including: request and approval, the third category: document content to document content, including: feasibility study review opinion and feasibility study approval opinion ;
[0041] Title-to-title correlation type processing module: used to extract file titles, extract key word information, and file indexing before content processing;
[0042] Title to document content association type processing module: used to extr...
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