Unsupervised classification method for long texts
A classification method and long text technology, applied in the field of network information, can solve the problems of long text, less classification of long text, and high time complexity
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[0027] The present invention will be further described in detail below in conjunction with the embodiments and the accompanying drawings, but the embodiments of the present invention are not limited thereto.
[0028] An unsupervised classification method for long texts, comprising the following steps:
[0029] (1) Due to the length of the long text, the text structure is mainly composed of three parts: title, text and issuing department. Before classifying the long text to be classified, it is necessary to filter the long text to be classified first, and extract the title text in the long text to be classified t 1 , body text t 2 and the text of the issuing department 3 three parts.
[0030] (2) Then extract the title text t 1 , body text t 2 and the text of the issuing department 3 The weight coefficient c of the three parts 1 、c 2 、c 3 . The weight coefficient is used to indicate the importance index of each text in the text to be measured.
[0031] The preferred ...
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