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Marketing clue extraction method and device based on reading understanding and computer readable storage medium

A technology of reading comprehension and extraction methods, applied in special data processing applications, unstructured text data retrieval, biological neural network models, etc., can solve problems such as missed sales opportunities

Pending Publication Date: 2019-09-27
PING AN TECH (SHENZHEN) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, considering the need to make hundreds of phone calls every day through agent sales, the high workload and emotional fluctuations often make insurance agents ignore some important sales leads from customers, thus missing potential sales opportunities

Method used

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  • Marketing clue extraction method and device based on reading understanding and computer readable storage medium
  • Marketing clue extraction method and device based on reading understanding and computer readable storage medium
  • Marketing clue extraction method and device based on reading understanding and computer readable storage medium

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Embodiment Construction

[0036] It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0037] The invention provides a method for extracting marketing clues based on reading comprehension. refer to figure 1 As shown, it is a schematic flowchart of a method for extracting marketing leads based on reading comprehension provided by an embodiment of the present invention. The method may be performed by a device, and the device may be implemented by software and / or hardware.

[0038] In this embodiment, the method for extracting marketing leads based on reading comprehension includes:

[0039] Step A: Obtain the text information of the dialogue with the customer;

[0040] Step B: Summarizing the effective dialogue content in the text information into question-answer pairs;

[0041] Step C: forming a labeled dataset according to the summarized question-answer pairs;

[0042] Step D: building a reading co...

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PUM

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Abstract

The invention discloses a marketing clue extraction method and device based on reading understanding and a computer readable storage medium. The method comprises the steps of A, acquiring the text information in conversation with a client; b, summarizing question and answer pairs for effective dialogue contents in the text information; c, forming a labeled data set according to the concluded question and answer pairs; D, constructing a reading understanding system according to the data set; and E, extracting marketing clues from the reading understanding system. Important marketing clues are automatically extracted from the dialogue with clients, strange client portraits are perfected, potential clients are mined, and the labor cost is saved.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to a method, device and computer-readable storage medium for extracting marketing clues based on reading comprehension. Background technique [0002] Machine Reading Comprehension (MRC) is an important topic in the field of natural language processing. Its purpose is to allow computers to find accurate answers in massive texts, thereby reducing the cost of human beings to obtain information. As a subfield of natural language processing, machine reading comprehension has received great attention in recent years and has also made great progress. The emergence of richer data and more diverse and advanced models enables machines to better process natural language text input and, to a certain extent, be able to answer relevant questions raised on the input text. This is important for building more advanced natural language processing applications, such as automatic question an...

Claims

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Application Information

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IPC IPC(8): G06F16/33G06N3/04
CPCG06F16/33G06N3/049
Inventor 黄博毕野吴振宇王建明
Owner PING AN TECH (SHENZHEN) CO LTD
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