Method for early warning monitoring and analysis of enterprise complaints based on artificial intelligence consumer right protection index

Abstract

The invention provides a method for early warning monitoring and analysis of enterprise complaints based on an artificial intelligence consumer right protection index, including the following steps: 1) using a data acquisition module to obtain the work order contents of the 12345 hotline; 2) establishing a classification module for the step 1), performing classification via an embedded classification module according to keywords through the work order contents acquired by the data acquisition module in the step 1) to obtain secondary indicators, and performing grouping and classification for important levels; 3) establishing the scoring rate for calculating the secondary indicators by an expert scoring module; 4) constructing an SVM classifier; 5) building a training classification model;6) building a classification carding module to perform service classification sorting on work order data; and 7) constructing a monitoring module for early warning monitoring and analysis of enterprise complaints combined with index and service data.

Description

technical field [0001] The present invention relates to the calculation technology of consumer rights protection index, in particular to a method for early warning and monitoring analysis of enterprise complaints based on artificial intelligence consumption rights protection index. system, industrial and commercial bureau system, enterprise credit system. Background technique [0002] The 12345 government service hotline center of the administration for industry and commerce directly faces consumers, is close to the people and the market, and generates a large amount of data information (work order: object, event, time, involved units) every day. These data and information are consumers’ real-time feedback on the problems existing in the current market, which can timely and accurately reflect the changing characteristics and laws of consumption hotspots, reflect the integrity of market entities, the quality of goods and services, and the order of fair trading in the market. ...

AI Technical Summary

Problems solved by technology

[0005] Disadvantage 1. Only the amount involved is considered as the only indicator, and the calculation results are often affected by data with a high amount involved, and other considerations are lacking: the proportion of cases filed, the number of personnel involved, the proportion of complainants, the proportion of complaints from abnormal enterprises, etc.;

[0006] Disadvantage 2. Due to the huge amount of data involved, multiple new data dimensions have been added, which has brought some difficulties to manual calculations

[0007] Disadvantage 3. This indicator only reflects the health of the overall consumer market in a certain region, and cannot provide detailed law enforcement suggestions to law enforcement officers.

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