{"title":"用于多类文档分类器的自然语言处理和深度学习方法","authors":"Shruti A. Gadewar, Prof. P. H. Pawar","doi":"10.32628/ijsrset2411143","DOIUrl":null,"url":null,"abstract":"With the recent growth of the internet, the volume of data has also increased. A large section of the internet is full of documents, which may contain data, big data, formatted and unformatted data, structured data, and unstructured data. The increase in the amount of this unstructured data results in making it difficult to manage data. As it is difficult to classify the increasing volume of data for various purposes manually, automated classification is required. This paper overviews different approaches to Natural Language Processing and Deep Learning for content-based classification.","PeriodicalId":14228,"journal":{"name":"International Journal of Scientific Research in Science, Engineering and Technology","volume":"32 2","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Natural Language Processing and Deep Learning Approaches for Multiclass Document Classifier\",\"authors\":\"Shruti A. Gadewar, Prof. P. H. Pawar\",\"doi\":\"10.32628/ijsrset2411143\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the recent growth of the internet, the volume of data has also increased. A large section of the internet is full of documents, which may contain data, big data, formatted and unformatted data, structured data, and unstructured data. The increase in the amount of this unstructured data results in making it difficult to manage data. As it is difficult to classify the increasing volume of data for various purposes manually, automated classification is required. This paper overviews different approaches to Natural Language Processing and Deep Learning for content-based classification.\",\"PeriodicalId\":14228,\"journal\":{\"name\":\"International Journal of Scientific Research in Science, Engineering and Technology\",\"volume\":\"32 2\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-02-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Scientific Research in Science, Engineering and Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.32628/ijsrset2411143\",\"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 Journal of Scientific Research in Science, Engineering and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.32628/ijsrset2411143","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Natural Language Processing and Deep Learning Approaches for Multiclass Document Classifier
With the recent growth of the internet, the volume of data has also increased. A large section of the internet is full of documents, which may contain data, big data, formatted and unformatted data, structured data, and unstructured data. The increase in the amount of this unstructured data results in making it difficult to manage data. As it is difficult to classify the increasing volume of data for various purposes manually, automated classification is required. This paper overviews different approaches to Natural Language Processing and Deep Learning for content-based classification.