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Theme information-based text segmentation method

A cutting method and subject information technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problems of inconvenient research and inconvenient reading, and achieve the effect of convenient retrieval

Active Publication Date: 2019-08-09
XI AN JIAOTONG UNIV
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Problems solved by technology

This is not convenient for people to read, nor is it convenient for researchers in the fields of natural language processing and information retrieval to conduct research

Method used

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  • Theme information-based text segmentation method
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  • Theme information-based text segmentation method

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Embodiment Construction

[0036] The present invention will be further described below in conjunction with accompanying drawings and examples.

[0037] Such as figure 1 As shown, a text segmentation method based on topic information can be divided into the following five processes:

[0038] Step 1, preprocessing the input text and the training set to obtain a series of sentences composed of words; includes two steps.

[0039] 101. For the input text, divide it according to the ending punctuation mark, and the ending punctuation mark refers to all symbols that can be used at the end of a Chinese sentence; obtain a series of separate sentences, each sentence occupies a separate line, and for the training set, its format is: sentence-topic tag, where both the sentence and the topic tag are Chinese text. The sentence part wherein carries out above-mentioned operation.

[0040] 102. Segment individual sentences and remove numbers, stop words, punctuation marks, and non-Chinese special symbols. Get a seque...

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Abstract

The invention discloses a theme information-based text segmentation method, which comprises the following specific operations of: preprocessing an input text and a training set to obtain a sentence consisting of a series of words; carrying out feature extraction to obtain feature vectors of the features; carrying out clustering operation on the input text according to semantic information contained in the sentence cluster to obtain a series of sentence clusters, and distributing a digital label for each cluster in sequence to obtain a series of simple sentences with the digital labels; distributing existing theme tags in a training set for each sentence, so that the existing theme tags in the training set are distributed to all sentences in the text. According to the invention, the digitallabel labeling result and the theme label labeling result are used for correction to obtain the text fragment with the theme label, and the theme label is distributed to the cut text, so that the theme described by the sentence can be clearly seen, the position for describing the theme in the text can be conveniently positioned according to the theme, and the retrieval is more convenient.

Description

technical field [0001] The invention belongs to the technical field of natural language processing, and in particular relates to a text cutting method based on subject information. Background technique [0002] Text is usually composed of a series of semantically related fragments. With the rapid increase in the size of today's web, the amount of text on the web is also increasing dramatically. Among the online texts, longer texts occupy a considerable proportion. Most of these texts have not been carefully divided, but are just a series of fragment stacks with semantically related relationships. This is not convenient for people to read, nor is it convenient for researchers in the fields of natural language processing and information retrieval to conduct research. [0003] In order to solve the above problems, usually the text is cut. For the viewer, fragments related to a single topic are obtained after cutting, which makes the text read more concisely and clearly, and...

Claims

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Application Information

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IPC IPC(8): G06F17/27G06K9/62
CPCG06F40/289G06F40/30G06F18/23213G06F18/24
Inventor 魏笔凡李鸿轩刘均郑庆华吴蓓张铎吴科炜郭朝彤
Owner XI AN JIAOTONG UNIV
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