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Data classification method for semantic analysis industries

A technology of industry data and classification methods, applied in the field of machine learning, can solve problems such as low efficiency, and achieve the effect of improving efficiency and reducing labor costs

Inactive Publication Date: 2018-08-17
杭州声讯网络科技有限公司
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Problems solved by technology

[0005] In view of this, what this application intends to solve is the problem of inefficiency caused by the complete reliance on manual communication and analysis in the telephone sales of enterprises in the prior art

Method used

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  • Data classification method for semantic analysis industries

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Embodiment Construction

[0030] The implementation of the present application will be described in detail below with reference to the accompanying drawings and examples, so as to fully understand and implement the implementation process of how the present application uses technical means to solve technical problems and achieve technical effects.

[0031] see figure 1 , an industry data classification method for semantic analysis, including:

[0032] Obtain voice data of telephone conversations with customers;

[0033] performing speech recognition on the speech data to obtain corresponding text data;

[0034] Preprocessing the text data, splitting it into sentences and symbols;

[0035] Construct industry data classification database;

[0036] Perform dependency grammatical analysis on sentences, and build industry data classification expression trees;

[0037] Based on the industry data classification expression tree, a corresponding industry data classification value is calculated in combination...

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Abstract

The invention discloses a data classification method for semantic analysis industries. The data classification method includes the steps that voice data of telephone communication with clients is obtained; the voice data is subjected to voice recognition, and corresponding text data is obtained; the text data is preprocessed, and is divided into statements and symbols; an industry data classification library is established; the statements are subjected to dependency grammar analysis, and an industry data classification expression tree is established; based on the industry data classification expression tree, combined with the symbols and correction of the industry data classification library, corresponding industry data classification values are computed.

Description

technical field [0001] This application belongs to the technical field of machine learning, and in particular relates to a method for classifying industry data for semantic analysis. Background technique [0002] In modern society, many enterprises rely on telephone sales to realize their profits. [0003] In the traditional technology, enterprises usually set up multiple seats in their own telemarketing department, and each seat has a telemarketer who manually looks up the phone number of a potential customer, then manually dials the number, and communicates with the customer after the call is connected. Communicate, analyze and summarize afterwards, and continue to follow up if there is hope for a deal until the deal is made. [0004] In the research, it is found that the defect of traditional technology is that most of the telephone sales of enterprises rely on manual work, which requires manual inquiry of numbers, manual dialing, manual communication with customers, and...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06Q30/02G10L15/26
CPCG06Q30/0201G10L15/26G06F16/322G06F16/35
Inventor 祝磊祝斌袁杭军
Owner 杭州声讯网络科技有限公司
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