{"title":"自然语言处理技术在文本分类中的应用","authors":"Tianbing Li","doi":"10.1117/12.2661012","DOIUrl":null,"url":null,"abstract":"With the development of science and technology and the arrival of the era of big data, artificial intelligence is constantly developing, and related theories are maturing. One of the important branches of artificial intelligence, that is, natural language processing technology, is also constantly developing. In the Internet era, there are more and more text information. Therefore, we should seek a good way to effectively obtain and manage this information. Through experiments, this paper tests the feasibility and efficiency of using natural language processing technology for text classification and draws a conclusion that natural language processing technology is efficiently applied to text classification.","PeriodicalId":220312,"journal":{"name":"International Symposium on Computer Engineering and Intelligent Communications","volume":"97 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Application of natural language processing technology in text classification\",\"authors\":\"Tianbing Li\",\"doi\":\"10.1117/12.2661012\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the development of science and technology and the arrival of the era of big data, artificial intelligence is constantly developing, and related theories are maturing. One of the important branches of artificial intelligence, that is, natural language processing technology, is also constantly developing. In the Internet era, there are more and more text information. Therefore, we should seek a good way to effectively obtain and manage this information. Through experiments, this paper tests the feasibility and efficiency of using natural language processing technology for text classification and draws a conclusion that natural language processing technology is efficiently applied to text classification.\",\"PeriodicalId\":220312,\"journal\":{\"name\":\"International Symposium on Computer Engineering and Intelligent Communications\",\"volume\":\"97 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-02-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Symposium on Computer Engineering and Intelligent Communications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1117/12.2661012\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Symposium on Computer Engineering and Intelligent Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.2661012","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application of natural language processing technology in text classification
With the development of science and technology and the arrival of the era of big data, artificial intelligence is constantly developing, and related theories are maturing. One of the important branches of artificial intelligence, that is, natural language processing technology, is also constantly developing. In the Internet era, there are more and more text information. Therefore, we should seek a good way to effectively obtain and manage this information. Through experiments, this paper tests the feasibility and efficiency of using natural language processing technology for text classification and draws a conclusion that natural language processing technology is efficiently applied to text classification.