Internet public opinion monitoring method and device

Abstract

The present invention relates to an internet public opinion monitoring method and apparatus. The method comprises: training a classification learning model of internet complaint information accordingto a pre-established expert classification model; classifying the obtained internet complaint information according to the classification learning model to obtain complaint classification information;determining the similarity between the complaint classification information and the obtained user query information; and tracing the target internet complaint information according to a determinationresult of the similarity. The apparatus comprises a learning model training unit, a complaint classification information acquisition unit, a similarity determination unit, and an information traceability unit. According to the internet public opinion monitoring method and apparatus provided by the present invention, classification modeling and information traceability can be implemented on massive internet complaint information, the source and the outbreak time of the complaint information can be timely discovered, and crawled internet public opinion information can be timely and effectivelymonitored and processed in a facilitated manner.

Description

technical field [0001] The invention relates to the field of communication technology, in particular to a method and device for monitoring Internet public opinion. Background technique [0002] In the Internet age, the channels for mobile customers to vent their dissatisfaction have become wider, the number of Internet complaint customers has increased significantly, the activity of netizens and customers has been high, and the influence of each other has increased, which can easily lead to a crowd effect. Many mobile customers release negative information through platforms such as Weibo, forums, large portal websites, and social APPs. After research, it was found that almost every Internet complaint incident against the operator that caused adverse effects was caused by a large number of publications and rapid dissemination by netizens on the Internet. [0003] In order to avoid the negative impact brought by the above-mentioned types of complaints, the prior art adopts, f...

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