Method for sorting and processing internet public feelings information

Abstract

The invention discloses a classified processing method of internet public information. The method comprises the following steps: selecting a classified public information text as a training text, and parsing words; selecting and screening nouns and verbs, acquiring feature words by extraction, vectorizing the training text, then acquiring a PCA transformation feature matrix, a BP neural network model, and a decision tree rule; performing dimension reduction on vectors of the vector matrix of the public information text to be classified by the PCA transformation feature matrix, and transforming the vectors by the BP neural network model to obtain an output vector which has the same number of dimensions as the classified number, and then performing matching by the decision tree rule, and determining that the public information text to be classified belongs to the public information category marked by the rule if the matching is successful. As the PCA transformation converts a feature word space related to a high dimension into a low-dimensional orthogonal feature space, the disadvantage of inaccurate classification is solved; meanwhile, the decision tree rule is used for classification without data similarity comparison so that a plurality of data sources can be processed in a short time.

Description

technical field [0001] The invention belongs to the technical field of Internet information release monitoring, and specifically relates to a method for classifying and processing Internet public opinion information. Background technique [0002] With the rapid development of Internet technology, people can more conveniently browse the web online, read news, post posts and comments, and edit personal web pages. The generation, dissemination and consumption of information by users plays an important role in the development of the Internet. [0003] Due to the virtuality, concealment, divergence, penetration and randomness of Internet communication, Internet public opinion gradually poses a threat to social public security in the form of "content threat". Public opinion refers to the socio-political attitudes that the public generates and holds toward social managers around the occurrence, development, and changes of intermediary social events within a certain social space. ...

AI Technical Summary

Problems solved by technology

Due to the simplification of text classification into space vector operations, the complexity of the problem is greatly reduced

[0006] The traditional text classification processing method based on the vector space model has the following shortcomings: First, the "item" in the model is simply taken as the feature words in the text, and there is a certain correlation between the feature words, so the distance between the vectors will be caused. The calculation is not accurate enough, resulting in unsatisfactory text classification results; second, it is limited to the classification mode of the usual similarity measure, simply corresponding the text to a feature vector in a high-dimensional space, and the amount of similarity calculation is huge

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