Impact of social media sentiments in stock market predictions: A bibliometric analysis

Q2 Economics, Econometrics and Finance
Deepshi Garg, P. Tiwari
{"title":"Impact of social media sentiments in stock market predictions: A bibliometric analysis","authors":"Deepshi Garg, P. Tiwari","doi":"10.1177/02663821211058666","DOIUrl":null,"url":null,"abstract":"The main objective of the paper is to anticipate a bibliometric analysis of the research on stock market prediction using social media sentiments. The study has taken out a total of 1450 documents from the year Jan 2010 to Dec 2020. This study attempts to identify a significant journal that has maximum documents, most prolific author, most cited papers, countries, institutions, co-authorship network analysis map, inter-country co-authorship network analysis map, and keyword occurrences. The study has used the Scopus database for analyzing the large set of data of research papers that are counted in the study. And the VOSviewer software is used for generating the maps such as co-authorship analysis network map and keyword occurrence network.","PeriodicalId":39735,"journal":{"name":"Business Information Review","volume":"38 1","pages":"170 - 182"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Business Information Review","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/02663821211058666","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Economics, Econometrics and Finance","Score":null,"Total":0}
引用次数: 4

Abstract

The main objective of the paper is to anticipate a bibliometric analysis of the research on stock market prediction using social media sentiments. The study has taken out a total of 1450 documents from the year Jan 2010 to Dec 2020. This study attempts to identify a significant journal that has maximum documents, most prolific author, most cited papers, countries, institutions, co-authorship network analysis map, inter-country co-authorship network analysis map, and keyword occurrences. The study has used the Scopus database for analyzing the large set of data of research papers that are counted in the study. And the VOSviewer software is used for generating the maps such as co-authorship analysis network map and keyword occurrence network.
社会媒体情绪对股市预测的影响:文献计量学分析
本文的主要目的是对利用社交媒体情绪预测股市的研究进行文献计量分析。该研究共提取了2010年1月至2020年12月期间的1450份文件。本研究试图确定具有最多文献、最多产作者、最多被引论文、国家、机构、合作作者网络分析地图、跨国合作作者网络分析地图和关键词出现次数的重要期刊。本研究使用了Scopus数据库来分析本研究统计的大量研究论文数据。利用VOSviewer软件生成合作关系分析网络图、关键词出现网络图等。
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 求助全文
来源期刊
Business Information Review
Business Information Review Economics, Econometrics and Finance-Economics, Econometrics and Finance (miscellaneous)
CiteScore
2.50
自引率
0.00%
发文量
22
期刊介绍: Business Information Review (BIR) is concerned with information and knowledge management within organisations. To be successful organisations need to gain maximum value from exploiting relevant information and knowledge. BIR deals with information strategies and operational good practice across the range of activities required to deliver this information dividend. The journal aims to highlight developments in the economic, social and technological landscapes that will impact the way organisations operate. BIR also provides insights into the factors that contribute to individual professional success.
×
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