Text summarization generation system and method based on coding-decoding deep neural networks

Abstract

The invention discloses a text summarization generation system and method based on coding-decoding deep neural networks. The system comprises: an Internet text obtaining module which is used for obtaining text information on the Internet; a data preprocessing module which is used for preprocessing the text information; a summarization model training module which is used for extracting quantified text information from the preprocessed text information and performing training according to a coding-decoding deep neural network model to obtain a summarization training model; a summarization generation module which is used for using the preprocessed text information as input and outputting summarization information with preset length according to the coding-decoding deep neural network model. The text summarization generation system and method based on coding-decoding deep neural networks have following advantages that text information is compressed into a summarization text with a coherent description by means of computer automatic analysis and abstraction or generation of the central content expressed by the text, which facilitate users to understand the text content and then to quickly read and select information of interest; the text is compressed into a summarization to reduce the browse burden of users.

Description

Technical field [0001] The invention relates to the field of computer application technology and text mining, in particular to a text summary generation system and method based on an encoding-decoding deep neural network. Background technique [0002] At present, computer technology is developing at an unprecedented speed. Especially with the maturity and popularization of Internet technology, computer networks have profoundly changed people's lives. At the same time, some problems have also arisen, especially the explosive growth of network resources, which has brought great difficulties to information acquisition. [0003] We are in an era of "information explosion". On the one hand, the massive amount of information stored on the Internet is far beyond people's imagination; on the other hand, facing the vast ocean of information, people often feel helpless, leading to the phenomenon of "information overload". Therefore, a very challenging and practical technology: how to help ...

AI Technical Summary

Problems solved by technology

Search engine technology is easier to obtain effective information than traditional network services, and is currently the most common information acquisition tool. However, since most search engines are based on the search of the entire network, users still cannot obtain information in a single text in a timely manner.

[0006] Faced with the increasing Internet text information, people cannot understand information by reading one by one

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