2020
DOI: 10.1051/matecconf/202030903016
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Grid text classification method based on DNN neural network

Abstract: With the rapid development of network technology, the electric power Internet of Things needs to face a large number of electronic texts and a large number of distributed data access and analysis requirements. If the system wants to complete accurate and efficient data analysis and build an existing data and service standard system covering the entire chain of energy and power business on the existing basis, it must implement massive electronic text retrieval, information extraction and classification in the p… Show more

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Cited by 3 publications
(1 citation statement)
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“…A common application of machine and deep learning is text classification, which uses neural networks to allocate text to different classes based on the characteristics of the text [101]. This technique is generally employed for sentiment and web page classification, and personalized news recommendation [102]. Standard classification algorithms include Naive Bayes, Nearest Neighbor, Decision Tree Classifiers, and Support Vector Machines [83].…”
Section: Text Classificationmentioning
confidence: 99%
“…A common application of machine and deep learning is text classification, which uses neural networks to allocate text to different classes based on the characteristics of the text [101]. This technique is generally employed for sentiment and web page classification, and personalized news recommendation [102]. Standard classification algorithms include Naive Bayes, Nearest Neighbor, Decision Tree Classifiers, and Support Vector Machines [83].…”
Section: Text Classificationmentioning
confidence: 99%