Website classification model training method and device, website classification method and device, equipment and medium

The embodiment of the invention discloses a website classification model training method and device, a website classification method and device, equipment and a medium. The website classification model training method comprises the following steps: acquiring website training data, wherein the websit...

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Hauptverfasser: WANG JIE, FU QIANG, WU JINXIN, ZHOU XIAOMING, HOU LIDONG, PAN SHENLING, TIAN YE, YANG MANZHI, MENG BAOQUAN, LIANG YU, JIN HONG, HUANG ZHI, CAI LIN, CHEN XIAOGUANG, DENG QIAOBO, LI LINHAN
Format: Patent
Sprache:chi ; eng
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Zusammenfassung:The embodiment of the invention discloses a website classification model training method and device, a website classification method and device, equipment and a medium. The website classification model training method comprises the following steps: acquiring website training data, wherein the website training data comprises URL addresses and address classification labels; generating a character vector matrix and a word vector matrix according to the website training data; extracting a feature vector of the character vector matrix as a first feature vector, and extracting a feature vector of the word vector matrix as a second feature vector; splicing the first feature vector and the second feature vector to obtain a spliced feature vector; and carrying out model training on a website classification model according to the splicing feature vector. According to the technical scheme of the embodiment of the invention, the recall ratio of the website classification model can be improved, so that the accuracy and th