A method and device for extracting text summarization

Abstract

A method and device for extracting a text digest. Specifically, the method comprises: obtaining reading operation information of a user about a target original text (S1); determining a concerned text of the user about the target original text according to the reading operation information (S2); and extracting a text digest of the target original text according to the concerned text with reference to content information of the target original text (S3). By means of the method, a text digest of a target original text is extracted according to a concerned text of a user about the target original text with reference to content information of the target original text, so that the extracted text digest can highlight the key point of an original literature better, thereby improving the accuracy and effectiveness of the text digest, and improving reading and browsing experience of the user correspondingly.

Description

technical field [0001] The invention relates to the technical field of automatic text summarization, in particular to a technology for extracting text summarization. Background technique [0002] The abstract accurately and accurately describes the central content of the original document in a concise and semantically coherent language, which greatly saves people's reading time. In the prior art, computers are often used to automatically extract abstracts from original documents through methods such as treating text as a linear sequence of sentences and sentences as a linear sequence of words. Analysis and automatic summarization are often based on the full-text content or the relevant paragraph content of the chapter, which cannot highlight the key points of the original document well. Contents of the invention [0003] An object of the present invention is to provide a method and device for extracting text summarization. [0004] According to one aspect of the present ...

AI Technical Summary

Problems solved by technology

In the prior art, computers are often used to automatically extract abstracts from original documents through methods such as treating text as a linear sequence of sentences and sentences as a linear sequence of words. Analysis and automatic summarization are often based on the content of the full text or the relevant paragraphs of the chapters, which cannot highlight the key points of the original literature

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