SentiT:一个半实时的Twitter情感解释系统

D. Kishore, K. Dheeraj
{"title":"SentiT:一个半实时的Twitter情感解释系统","authors":"D. Kishore, K. Dheeraj","doi":"10.9790/0661-1904010913","DOIUrl":null,"url":null,"abstract":"SentiT is an opinion analysis application for Twitter. Based on the keyword searched, SentiT collects tweets having to do with it , separates and labels them into the different polarity classes neutral, negative and positive , simultaneously we also categorize them into emotions which are anger, disgust, fear, joy, sadness, surprise .Our main objective is to prepare a system that takes real time data from the twitter and come to a conclusion about the opinion on particular product/keyword","PeriodicalId":91890,"journal":{"name":"IOSR journal of computer engineering","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"SentiT: A Semi Real Time System for Interpreting Sentiment in Twitter\",\"authors\":\"D. Kishore, K. Dheeraj\",\"doi\":\"10.9790/0661-1904010913\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"SentiT is an opinion analysis application for Twitter. Based on the keyword searched, SentiT collects tweets having to do with it , separates and labels them into the different polarity classes neutral, negative and positive , simultaneously we also categorize them into emotions which are anger, disgust, fear, joy, sadness, surprise .Our main objective is to prepare a system that takes real time data from the twitter and come to a conclusion about the opinion on particular product/keyword\",\"PeriodicalId\":91890,\"journal\":{\"name\":\"IOSR journal of computer engineering\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IOSR journal of computer engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.9790/0661-1904010913\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IOSR journal of computer engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.9790/0661-1904010913","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

SentiT是Twitter上的一款观点分析应用程序。根据搜索的关键字,SentiT收集与之相关的推文,将它们分为不同的极性类中性,消极和积极,同时我们也将它们分类为愤怒,厌恶,恐惧,喜悦,悲伤,惊讶。我们的主要目标是准备一个系统,从推特上获取实时数据,并得出关于特定产品/关键字的意见结论
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SentiT: A Semi Real Time System for Interpreting Sentiment in Twitter
SentiT is an opinion analysis application for Twitter. Based on the keyword searched, SentiT collects tweets having to do with it , separates and labels them into the different polarity classes neutral, negative and positive , simultaneously we also categorize them into emotions which are anger, disgust, fear, joy, sadness, surprise .Our main objective is to prepare a system that takes real time data from the twitter and come to a conclusion about the opinion on particular product/keyword
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