土耳其推特消息与股市指数的关系分析

M. Simsek, Suat Ozdemir
{"title":"土耳其推特消息与股市指数的关系分析","authors":"M. Simsek, Suat Ozdemir","doi":"10.1109/ICAICT.2012.6398520","DOIUrl":null,"url":null,"abstract":"The increasing popularity of social networks also increased the amount of data collected in these networks. Online social applications, which are also defined as social media, provide ways of accessing large amounts of data about their users over the Internet. Not surprisingly, researchers started to focus on the data extraction process in these networks. In this context, data mining applications and data analysis allow researchers to extract some useful information about the masses and people. In this study, we examine a Turkish twitter data set using data mining techniques. Initially, Turkish tweet dataset is collected and emotional words are determined. An analysis is carried out to see if there is a relation between Turkish tweets and the Turkish stock market index. To the best of our knowledge, this is the first study performed on Turkish tweets and stock market index.","PeriodicalId":221511,"journal":{"name":"2012 6th International Conference on Application of Information and Communication Technologies (AICT)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":"{\"title\":\"Analysis of the relation between Turkish twitter messages and stock market index\",\"authors\":\"M. Simsek, Suat Ozdemir\",\"doi\":\"10.1109/ICAICT.2012.6398520\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The increasing popularity of social networks also increased the amount of data collected in these networks. Online social applications, which are also defined as social media, provide ways of accessing large amounts of data about their users over the Internet. Not surprisingly, researchers started to focus on the data extraction process in these networks. In this context, data mining applications and data analysis allow researchers to extract some useful information about the masses and people. In this study, we examine a Turkish twitter data set using data mining techniques. Initially, Turkish tweet dataset is collected and emotional words are determined. An analysis is carried out to see if there is a relation between Turkish tweets and the Turkish stock market index. To the best of our knowledge, this is the first study performed on Turkish tweets and stock market index.\",\"PeriodicalId\":221511,\"journal\":{\"name\":\"2012 6th International Conference on Application of Information and Communication Technologies (AICT)\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-12-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"15\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 6th International Conference on Application of Information and Communication Technologies (AICT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAICT.2012.6398520\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 6th International Conference on Application of Information and Communication Technologies (AICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAICT.2012.6398520","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 15

摘要

社交网络的日益普及也增加了在这些网络中收集的数据量。在线社交应用程序,也被定义为社交媒体,提供了通过互联网访问其用户的大量数据的方法。不出所料,研究人员开始关注这些网络中的数据提取过程。在这种情况下,数据挖掘应用和数据分析使研究人员能够提取有关群众和人员的一些有用信息。在本研究中,我们使用数据挖掘技术检查土耳其twitter数据集。首先,收集土耳其语推文数据集,确定情绪词。我们进行了一项分析,看看土耳其的推文和土耳其股市指数之间是否存在关系。据我们所知,这是第一次对土耳其的推特和股票市场指数进行研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of the relation between Turkish twitter messages and stock market index
The increasing popularity of social networks also increased the amount of data collected in these networks. Online social applications, which are also defined as social media, provide ways of accessing large amounts of data about their users over the Internet. Not surprisingly, researchers started to focus on the data extraction process in these networks. In this context, data mining applications and data analysis allow researchers to extract some useful information about the masses and people. In this study, we examine a Turkish twitter data set using data mining techniques. Initially, Turkish tweet dataset is collected and emotional words are determined. An analysis is carried out to see if there is a relation between Turkish tweets and the Turkish stock market index. To the best of our knowledge, this is the first study performed on Turkish tweets and stock market index.
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:604180095
Book学术官方微信