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Voice text data analysis method and equipment for element splitting and combination

A voice text and data analysis technology, applied in the computer field, can solve the problems of high cost of manual modeling, limitation of comprehensive statistics and corresponding analysis of rings, low efficiency of data analysis, etc., and achieve the effect of reducing difficulty and manpower consumption

Active Publication Date: 2020-12-04
慧捷(上海)科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] Second, because a single model requires manual listing of all keywords and their logical relationships, the number of characters in a single model may even exceed 10,000, resulting in a huge cost of manual modeling
[0007] The third is that it is difficult to reuse the listed models, resulting in low efficiency of data analysis. Taking the current big data analysis widely used in the financial field as an example, usually only specific business scenarios are selected for analysis in the industry, which limits further comprehensive statistics and corresponding analysis of the chain. application

Method used

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  • Voice text data analysis method and equipment for element splitting and combination
  • Voice text data analysis method and equipment for element splitting and combination
  • Voice text data analysis method and equipment for element splitting and combination

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Embodiment Construction

[0047] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0048] In a typical configuration of the present application, the terminal, the device serving the network, and the trusted party each include one or more processors (CPUs), input / output interfaces, network interfaces, and memory.

[0049]Memory may include non-permanent storage in computer-readable media, in the form of random access memory (RAM) and / or nonvolatile memory, such as read-only memory (ROM) or flash RAM. Memory is an example of computer readable media.

[0050] Computer-readable media, including both permanent and non-permanent, removable and non-removable media, can be implemented by any method or technology for storage of information. Information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static ra...

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Abstract

The invention aims to provide a voice text data analysis method and device for element splitting and combination, and provides a data analysis method for element splitting and combination in order tosolve the problems that the number of models is too large, fields are too long and the modeling efficiency is low. According to the basic principle, different types of elements are defined, the modeling process is split and then recombined, and the recombined elements are used for defining occurred events through data analysis equipment, so that a two-dimensional, three-dimensional and multi-dimensional element matrix is established, and the modeling difficulty and labor consumption are greatly reduced.

Description

technical field [0001] The invention relates to the field of computers, in particular to a voice text data analysis method and device for component splitting and combination. Background technique [0002] The application of big data analysis in various industries is basically to analyze customer intentions, business content, service methods and customer feedback through models, so as to understand trends such as customer demand changes, improve service efficiency, customer satisfaction, or sales success rate data. [0003] In the process of statistics, descriptive analysis is usually used to construct a model using keywords and logical combinations to define the target events that need to be analyzed. Whether it is the traditional combination modeling method or the emerging machine learning, it is the application of the exhaustive method, which requires a large amount of labeling and supervised learning resources. Especially for dialogue content transcribed from recordings...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/33G06F16/35
CPCG06F16/3343G06F16/35
Inventor 李畅
Owner 慧捷(上海)科技有限公司
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