2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) 2019
DOI: 10.1109/itnec.2019.8729020
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Research on hot news classification algorithm based on deep learning

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Cited by 16 publications
(8 citation statements)
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“…Unlike confusion matrix, the probabilities are shown for the sake of clear comparison instead of the amounts of each category. In addition, based on macro-averaging, precision ratio, recall ratio and F-measure are added for more comprehensive evaluation [34]. Precision ratio P means the probability of the one considered true is really true positive.…”
Section: A Datasets and Evaluation Standardmentioning
confidence: 99%
“…Unlike confusion matrix, the probabilities are shown for the sake of clear comparison instead of the amounts of each category. In addition, based on macro-averaging, precision ratio, recall ratio and F-measure are added for more comprehensive evaluation [34]. Precision ratio P means the probability of the one considered true is really true positive.…”
Section: A Datasets and Evaluation Standardmentioning
confidence: 99%
“…The work of [ 15 ] studies the application of deep learning in text categorization. They combine it with textual characteristics and use the double bi-directional gated recurrent unit (GRU) + attention deep learning model to predict hotspots, and they achieved good results.…”
Section: Related Workmentioning
confidence: 99%
“…To speed up the process and improve the accuracy deep learning algorithm can be used for classification. Many studies [16][17][18][19][20][21][22][23][24][25][26][27][28] have shown that the use of deep learning can increase the accuracy of classification on NLP. From the previous studies, it can be concluded that modifications of CNN and RNN's enhancement most results the higher accuracy than others.…”
Section: Related Workmentioning
confidence: 99%