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PUBLIC OPINION INFORMATION CLASSIFICATION METHOD AND APPARATUS, COMPUTER DEVICE, AND STORAGE MEDIUM

机译:公众意见信息分类方法和装置,计算机设备和存储介质

摘要

A public opinion information classification method , comprising: establishing a classification model, the classification model comprising a word vector model and a multi-layer recursive neural network; acquiring public opinion information, the public opinion information comprising a plurality of sentences; using the word vector model to perform training to obtain sentence vectors corresponding to the plurality of sentences, and using the sentence vectors corresponding to the plurality of sentences to generate a weight matrix; acquiring codes corresponding to the plurality of sentences, respectively, and inputting the codes of the plurality of sentences into the trained multi-layer recursive neural network; performing operation on the basis of the codes of the plurality of sentences and the weight matrix by means of the trained multi-layer recursive neural network, to output the categories of the plurality of sentences; and determining the category corresponding to the public opinion information according to the categories of the plurality of sentences.
机译:一种民意信息分类方法,包括:建立分类模型,所述分类模型包括词向量模型和多层递归神经网络。获取舆情信息,所述舆情信息包括多个句子;使用词向量模型进行训练以获得对应于多个句子的句子向量,并利用对应于多个句子的句子向量生成权重矩阵;分别获取与所述多个句子对应的代码,并将所述多个句子的代码输入训练后的多层递归神经网络中;通过训练后的多层递归神经网络,根据多个句子的代码和权重矩阵进行运算,输出多个句子的类别;根据所述多个句子的类别确定与所述舆情信息对应的类别。

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