Intelligent opinion clue collection method and system based on data repetition

Abstract

The invention discloses an intelligent opinion clue collection method and system based on data repetition, belongs to the technical field of data processing and data supervision, and aims to solve the technical problems of repetition of opinion clue data, long processing period and high accuracy. According to the technical scheme, the method specifically comprises the following steps that key indexes for judging the repetition rate in opinion clue data are obtained, and the key indexes are preprocessed; the repetition rate of the key indexes is calculated by using a Levenshtein Distance algorithm; and carrying out batch processing on the opinion clue data collected into one class. The system comprises an acquisition module, a calculation module and a processing module.

Description

technical field

[0001] The present invention relates to the technical field of data processing and data supervision, in particular to a method and system for intelligent collection of opinion clues based on data repetition. Background technique

[0002] With the rapid development of the times and the progress of the legal system, the awareness of rights protection of urban and rural residents has gradually increased, and more and more people choose to give feedback to relevant departments when their own interests are violated, resulting in a sharp increase in the number of opinions and clues processed. The speed and effect of processing opinion clues are directly related to residents’ happiness in life. Therefore, relevant departments have stricter and stricter requirements on the time limit and method of processing opinion clues, and the work intensity and pressure of relevant processing personnel are high, which has led to the emergence of the opinion clue processing system...

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