Patent
Identification method of emotional tendency of network comment texts and convolutional neutral network model
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TLDR
In this paper, an identification method of emotional tendency of network comment texts and a convolutional neutral network model is presented. But the method comprises the steps as follows: grabbed network comment text constitute a data set; word segmentation and text preprocessing are performed; all words subjected to text pre-processing are trained, and word vector representation of all words is obtained; the convolution neural network model was constructed and trained on a training set selected from the data set, and network parameters are updated with a back-propagating algorithm.Abstract:
The invention discloses an identification method of emotional tendency of network comment texts and a convolutional neutral network model. The method comprises the steps as follows: grabbed network comment texts constitute a data set; word segmentation and text preprocessing are performed; all words subjected to text preprocessing are trained, and word vector representation of all words is obtained; the convolutional neutral network model is constructed and trained on a training set selected from the data set, and network parameters are updated with a back-propagating algorithm; in each step of training, noise is added to word vectors of an input layer for construction of adversarial samples, adversarial training is performed, and network parameters are updated with a random gradient descent algorithm; a classification model is obtained through repeated iteration to identify the emotional tendency of the network review texts. The convolutional neutral network model is used in the method and comprises the input layer, a convolution layer, a pooling layer and a classification layer. The adversarial samples can be classified correctly and the identification accuracy is improved.read more
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References
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Proceedings ArticleDOI
Convolutional Neural Networks for Sentence Classification
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