Public sentiment event detection method and device

Abstract

The invention discloses a public sentiment event detection method and device. The method comprises the following steps that: obtaining the feature word vector of a text to be detected; obtaining vectors corresponding to all feature words, and obtaining a sensitive term-of-meaning vector; calculating a similarity between the feature word vector of the text to be detected and the feature word vectors corresponding to all feature words; obtaining a corresponding first sensitive term of meaning when the similarity is maximum, and obtaining the amount of the first sensitive terms of meaning and the amount of the feature words in the text to be detected; according to a first preset weight value and a second preset weight value, calculating the weighted sum of the amount of the first sensitive terms of meaning and the amount of the feature words; and when the weighted sum is greater than a threshold value, determining a described event in the text to be detected as a public sentiment event. By use of the method, through the vectorization of the text to be detected, effective semantic constraint can be achieved; and meanwhile, the similarity between the feature word vector of the text to be detected and the feature word vectors corresponding to all feature words can be calculated to accurately detect the problems of the public sentiment event which needs to be paid attention.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a public opinion event detection method and device. Background technique [0002] With the rapid development of the Internet, Internet public opinion is becoming an ideological front for ordinary people to express their interests, advocate social fairness and justice, and continuously convey the common aspirations of the people to governments at all levels in our country. More and more people are willing to post their views and the phenomena they see on the Internet. Through the dissemination of the Internet, more people can participate, which has a major impact on the mood of Internet users and social stability. Therefore, using modern science and technology to accurately detect public opinion events is of great significance. [0003] At present, the detection of public opinion events has found that some sensitive words of public opinion are still used for semantic matching, ...

AI Technical Summary

Problems solved by technology

[0004] Due to the fact that the traditional feature word filtering method lacks effective semantic constraints in the face of massive Internet texts, it is easy to cause misjudgments and

Images