用于多类文档分类器的自然语言处理和深度学习方法

Shruti A. Gadewar, Prof. P. H. Pawar
{"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}
引用次数: 0

摘要

随着近年来互联网的发展,数据量也在不断增加。互联网的很大一部分都是文档,其中可能包含数据、大数据、格式化和非格式化数据、结构化数据和非结构化数据。这些非结构化数据量的增加导致数据管理变得困难。由于难以手动对日益增长的数据量进行各种分类,因此需要进行自动分类。本文概述了基于内容分类的自然语言处理和深度学习的不同方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
UGC Guidelines on Sustainable and Vibrant University- Industry Linkage System for Indian Universities, 2024 Leachate as a Fertilizer Artificial Intelligence in Healthcare : A Review Advancements in Quadcopter Development through Additive Manufacturing: A Comprehensive Review Sensing Human Emotion using Emerging Machine Learning Techniques
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1