Social Network Mental Disorders Detection via Online Social Media Mining

Prof. Narinder Kaur and Lakshay Monga
{"title":"Social Network Mental Disorders Detection via\nOnline Social Media Mining","authors":"Prof. Narinder Kaur and Lakshay Monga","doi":"10.46501/ijmtst0701006","DOIUrl":null,"url":null,"abstract":"Social Network Mental Disorder Detection” or “SNMD” is an approach to analyse data and retrieve sentiment\nthat it embodies. Twitter SNMD analysis is an application of sentiment analysis on data from Twitter\n(tweets), in order to extract sentiments conveyed by the user. In this paper, we aim to review some papers\nregarding research in sentiment analysis on Twitter, describing the methodologies adopted and models\napplied, along with describing a generalized Python based approach. A prototype system is developed and\ntested.","PeriodicalId":436878,"journal":{"name":"January 2021","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"January 2021","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.46501/ijmtst0701006","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Social Network Mental Disorder Detection” or “SNMD” is an approach to analyse data and retrieve sentiment that it embodies. Twitter SNMD analysis is an application of sentiment analysis on data from Twitter (tweets), in order to extract sentiments conveyed by the user. In this paper, we aim to review some papers regarding research in sentiment analysis on Twitter, describing the methodologies adopted and models applied, along with describing a generalized Python based approach. A prototype system is developed and tested.
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
通过在线社交媒体挖掘检测社交网络精神障碍
“社会网络精神障碍检测”或“SNMD”是一种分析数据并检索其所体现的情感的方法。Twitter SNMD分析是对Twitter(tweets)数据进行情感分析的一种应用,目的是提取用户传递的情感。在本文中,我们的目标是回顾一些关于Twitter情感分析研究的论文,描述所采用的方法和应用的模型,以及描述一种基于Python的通用方法。开发并测试了原型系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Co-ground mineral/microfibrillated cellulose composite materials: Recycled fibers, engineered minerals, and new product forms Spraying starch on the Fourdrinier— An option between wet end starch and the size press The effect of microfibrillated cellulose on the wet-web strength of paper Application of foamed additives to the surface of wet handsheets Understanding wet tear strength at varying moisture content in handsheets
×
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