Key sentence extraction method and device for text paragraph

An extraction method and key sentence technology, applied in the field of data processing, can solve the problems of long training cycle, difficult to effectively accumulate customer service knowledge, and high cost of repeated labor for customer service personnel, to reduce costs, optimize efficiency, and shorten the cycle.

Active Publication Date: 2019-10-01
HANGZHOU WEIMING XINKE TECH CO LTD +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For a long time, customer service has been dominated by manual labor, especially voice customer service. Problems such as high repetitive labor costs for customer service personnel, long training cycles, and difficulty in effectively accumulating customer service knowledge have become bottlenecks in the development of the customer service industry.
Moreover, the massive customer service Q&A data accumulated in many industries is still idle, and it is impossible to extract and summarize the real needs and intentions of users from the massive customer service Q&A data

Method used

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  • Key sentence extraction method and device for text paragraph
  • Key sentence extraction method and device for text paragraph
  • Key sentence extraction method and device for text paragraph

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Embodiment Construction

[0066]Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0067] Customer service is an important bridge connecting enterprises and customers, which greatly affects the business management, brand effect and market position of enterprises. In order to improve the service efficiency of customer service, some industries have begun to use customer service robots based on keyword and template matching technology. Customer service bots are able to rank texts for relevance based on keyword matchi...

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Abstract

The invention provides a key sentence extraction method and device for a text paragraph, and relates to the technical field of data processing. The key sentence extraction method comprises the following steps: carrying out word segmentation on each line of text of each text paragraph in a corpus to obtain a first word segmentation result; selecting effective vocabularies from the first word segmentation result; selecting a key paragraph from each text paragraph according to the composition structure of the text paragraph; classifying the key paragraphs according to the effective vocabularies to obtain a plurality of classification categories; determining a target keyword of each classification category and the weight of each target keyword; and extracting a key sentence of each key paragraph according to the target keyword and the weight of the target keyword. According to the technical scheme, for the customer service industry, classification of customer service question and answer data and extraction of user demands and purposes are achieved, and the period of customer service knowledge accumulation is greatly shortened, and the cost of customer service knowledge accumulation isreduced, and meanwhile a complete problem set is provided for subsequent intelligent customer service.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a method and device for extracting key sentences of text paragraphs. Background technique [0002] In order to provide customers with better service and consultation, customer service roles have been set up in many industries, such as banking and tourism. For a long time, customer service has been dominated by manual labor, especially voice customer service. Problems such as high repetitive labor costs for customer service personnel, long training cycles, and difficulty in effectively accumulating customer service knowledge have become bottlenecks in the development of the customer service industry. Moreover, the massive customer service Q&A data accumulated in many industries is still idle, and it is impossible to extract and summarize the real needs and intentions of users from the massive customer service Q&A data. Contents of the invention [0003] In view of this,...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/27
CPCG06F40/279Y02D10/00
Inventor 张伟陈曦龚小龙李硕麻志毅
Owner HANGZHOU WEIMING XINKE TECH CO LTD
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