Enterprise public opinion analysis method and device, electronic equipment and medium

Abstract

The invention relates to a big data engine technology, is applied to artificial intelligence, and provides an enterprise public opinion analysis method. The method comprises the steps of obtaining andpreprocessing a public opinion text; obtaining multiple phrases, identifying the named entity and determining the public opinion text of the identified enterprise entity as a target text; performingsubject recognition on the target text; obtaining identification results, classifying the target texts; obtaining classification results, inputting the target text, the recognition result and the classification result into a pre-trained emotion model, obtaining sentiment results, selecting a target text of which the emotion result is negative emotion, and using the early warning text as the earlywarning text; matching the early warning text with the early warning phrases in the configuration list, determining the matched early warning phrases as the early warning category of the early warningtext, obtaining the target enterprise of the early warning text, and forming the early warning information according to the early warning category and the early warning text, thus sending early warning out timely and accurately. The invention also relates to a blockchain technology, and the early warning information is stored in the blockchain.

Description

technical field [0001] The present invention relates to the technical field of big data engines, in particular to an enterprise public opinion analysis method, device, electronic equipment and media. Background technique [0002] With the emergence of platforms such as Weibo and forums, a large amount of public opinion information has been generated. Among these public opinion information, there are information that has a positive impact on the enterprise, and there is also information that has a negative impact on the enterprise. Through the analysis of public opinion information, the public opinion information that has a negative impact on the enterprise can be found out in time, which is convenient for enterprise decision makers to quickly formulate countermeasures, thereby improving the utilization rate of public opinion information and the correctness of decision-making. [0003] Existing models or application systems only analyze public opinion information, resulting i...

AI Technical Summary

Problems solved by technology

[0003] Existing models or application systems only analyze public opinion information, resulting in insufficient utilization of a large amount of public opinion information, which makes it impossible to send early warning information to enterprises in a timely and accurate manner

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