短文本分类的深度学习新技术

Ziyuan Yang
{"title":"短文本分类的深度学习新技术","authors":"Ziyuan Yang","doi":"10.1145/3573428.3573468","DOIUrl":null,"url":null,"abstract":"A key work in language processing is text classification, which is used in information retrieval, recommendation, and sentiment analysis. Thanks to the advent of platforms like social media, short text has become one of the most predominant forms of communication. Recently, because of the unprecedented development of deep learning, deep neural network has been used to handle text classification by researchers. Although quantities of methods have been proposed in literature and the research work about this classification task has come a long way, there is a little summary about it, raising the need of a comprehensive review about the development of this task for the latest decade. This paper makes an overview of the classification task about introducing the techniques people used to improve the performance on the model. What's more, I make an analysis about the potential problems of this task which may be the key points that we should pay attention to in the future.","PeriodicalId":314698,"journal":{"name":"Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Recent Deep Learning Techniques on Short Text Classification\",\"authors\":\"Ziyuan Yang\",\"doi\":\"10.1145/3573428.3573468\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A key work in language processing is text classification, which is used in information retrieval, recommendation, and sentiment analysis. Thanks to the advent of platforms like social media, short text has become one of the most predominant forms of communication. Recently, because of the unprecedented development of deep learning, deep neural network has been used to handle text classification by researchers. Although quantities of methods have been proposed in literature and the research work about this classification task has come a long way, there is a little summary about it, raising the need of a comprehensive review about the development of this task for the latest decade. This paper makes an overview of the classification task about introducing the techniques people used to improve the performance on the model. What's more, I make an analysis about the potential problems of this task which may be the key points that we should pay attention to in the future.\",\"PeriodicalId\":314698,\"journal\":{\"name\":\"Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3573428.3573468\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3573428.3573468","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

文本分类是语言处理中的一项关键工作,用于信息检索、推荐和情感分析。由于社交媒体等平台的出现,短文本已经成为最主要的交流形式之一。近年来,由于深度学习的空前发展,研究人员将深度神经网络用于文本分类。虽然文献中已经提出了大量的方法,关于该分类任务的研究工作也走过了很长的路,但对其进行了一些总结,提出了对近十年来该任务发展进行全面回顾的必要性。本文对分类任务进行了概述,介绍了人们用来提高模型性能的技术。此外,我对这项任务可能存在的问题进行了分析,这可能是我们未来应该注意的重点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Recent Deep Learning Techniques on Short Text Classification
A key work in language processing is text classification, which is used in information retrieval, recommendation, and sentiment analysis. Thanks to the advent of platforms like social media, short text has become one of the most predominant forms of communication. Recently, because of the unprecedented development of deep learning, deep neural network has been used to handle text classification by researchers. Although quantities of methods have been proposed in literature and the research work about this classification task has come a long way, there is a little summary about it, raising the need of a comprehensive review about the development of this task for the latest decade. This paper makes an overview of the classification task about introducing the techniques people used to improve the performance on the model. What's more, I make an analysis about the potential problems of this task which may be the key points that we should pay attention to in the future.
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
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信