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Stock Markets Using Web Media Content
2019
International Journal of Recent Trends in Engineering and Research
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Our goal is to clarify current cutting-edge research and its possible future directions to fully understand the mechanisms of Web information percolation and its impact on stock markets from the perspectives ...
In this study, we systematically reviewed 23 research articles on quantifying the interplay between Web media and stock markets from the fields of Finance, Management Information Systems, and Computer ...
Qing Li from National Natural Science Foundation of China (NSFC) (71671141,71401139, 60803106, 61170133). ...
doi:10.23883/ijrter.conf.20190322.084.fv9os
fatcat:ezxsrqglhzhphl5yxeejkliuya
A Bibliometric Review of Stock Market Prediction: Perspective of Emerging Markets
2020
Applied Computer Systems
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Focus of research is hybrid models that integrate big data, social media, and real-time streaming data. ...
AbstractThe objective of the paper is to identify predictive models in stock market prediction focusing on a scenario of the emerging markets. ...
It can be attributed due to the advent of technology, smartphone penetration or big data and social media influence [37] . ...
doi:10.2478/acss-2020-0010
fatcat:zyyacedb2jgkfokpmaw73dfvue
Predicting Big Movers Based on Online Stock Forum Sentiment Analysis
2015
Americas Conference on Information Systems
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We focus on a special kind of stocks, big movers, i.e., stocks that undergo a drastic one-day price change, and a special kind of social media, online stock discussion forums. ...
The findings of our research have theoretical implications for future research on social media sentiment and practical implications for developing stock investment strategies. ...
Another possibility for future research is leveraging the results of this research as an initial step for complementing technical and fundamental analysis with results from social media analysis to obtain ...
dblp:conf/amcis/Al-RamahiCEL15
fatcat:htg2bbrnuffbvfz5yycshvisqi
A multidisciplinary perspective of big data in management research
2017
International Journal of Production Economics
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In light of these, the study identifies and outlines the implications and directions for future research. To discover the full value, firms need to formulate and implement a data-driven strategy. ...
To take stock of academic research that contributes to the big data revolution, this paper tracks scholarly work's perspectives on big data in the business and management domain over the past decade. ...
Operation Perspective of Big Data From a business operation perspective, big data has been explored in a way to improve production and operation efficiency. ...
doi:10.1016/j.ijpe.2017.06.006
fatcat:binfqlxtizbh3dhqhxuarsxpz4
INFERRING THE ROLE OF SOCIAL MEDIA ON GEN Z'S INVESTMENTS DECISIONS
2021
Journal of Content Community and Communication
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The aim behind conducting this research is to investigate the impact of social media (SM) its impact on enhancing their Financial Literacy (FL) and how it influences Gen Z Community Behaviour (GzCB). ...
The complex behaviour of a society is captured in big data from social media. ...
Furthermore, while various research has been conducted to anticipate stock price movements in the future, the stock market is not only based on previous data. ...
doi:10.31620/jccc.12.21/24
fatcat:ihs5qqb7tfefhdrwse573xr6ci
Twitter and Research: A Systematic Literature Review Through Text Mining
2020
IEEE Access
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This study collected relevant papers from three databases and applied text mining and trend analysis to detect semantic patterns and explore the yearly development of research themes across a decade. ...
Researchers have collected Twitter data to study a wide range of topics. This growing body of literature, however, has not yet been reviewed systematically to synthesize Twitter-related papers. ...
Stock Market: This theme investigates the stock market applications of Twitter data such as investigating the relationship between relevant Twitter trends and trends of stock options pricing [175] , studying ...
doi:10.1109/access.2020.2983656
fatcat:3ifo6czjifai7pfpro3bnu7p5a
A Systematic Literature Map on Big Data
2019
Zenodo
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The paradigm of Big Data has been established as a solid field of studies in many areas such as healthcare, science, transport, education, government services, among others. ...
This work aims to provide an analytical view of the studies conducted and published regarding the Big Data paradigm. ...
applications,
challenges,
techniques and technologies -A survey on Big
Data
[23]
5
6 Data mining with big data
[24]
4
7
The meaningful use of big data -four
perspectives four challenges ...
doi:10.5281/zenodo.3570615
fatcat:uee6cvzrsrap5kx46m5a7xgbqm
Systematic Literature Review on Opinion Mining of Big Data for Government Intelligence
2017
Webology
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A high quality information extracted from this massive volume of data, named as big data, urges the development of an efficient and effective decision support system and powerful strategic tools in the ...
The need to review, analyze and evaluate research studies across literature is thus fostered motivating us to identify existing trends, research gaps and potential directions of future work within this ...
The major sources of big data are: black box data, transportation data, stock exchange data, social media data, power grid data, search engine data, healthcare data, etc. ...
dblp:journals/webology/KumarS17
fatcat:hk5fzbjttnf3fe3k6n7n7ckfmm
Impact of Digital Marketing on Consumer Buying Behaviour
2022
Zenodo
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Advanced Marketing patterns are significantly high with a roaring vocation in todays monetary development and improvement. ...
This concentrate basically center around change of advanced advertising in advancing the brands at a worldwide level , better comprehension of buyer inclinations and break down the personal conduct standard ...
future examination and the future advancement in an organization. e) This review assists with understanding the advanced showcasing directs in computerized promoting. ...
doi:10.5281/zenodo.5912503
fatcat:k4zoxhrcxjalhgm42dgmckdaiq
Data Empowered Insights for Sustainability of Korean MNEs
2019
Journal of Asian Finance, Economics and Business
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Lastly, this provides meaningful and valuable data empowered insights to find a future direction comprehensively and develop a global strategy for sustainability of business. ...
This study aims to utilize big data contents of news and social media for developing a corporate strategy of multinational enterprises and their global decision-making through the data mining technique ...
The figure 1 shows a framework that can collect data from various sources such as news media, social media, search engines like Google Trends and others such as stock and financial reports. ...
doi:10.13106/jafeb.2019.vol6.no3.173
fatcat:d3jlkhj7hbhu7adnty5zvdzflu
Conceptualization of social media brand equity
2020
Pressacademia
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Purpose -While brand equity is widely recognized as one of the most important areas of strategic marketing, it is a rather new and complex research topic in social media context. ...
Methodology -Out of 225 revised scholarly papers about social media and brand valuation, there are scant number of studies that propose a model for SMBE measurement. ...
From the marketing perspective, no brand equity concept or measurement scale is recognized for social media considering their idiosyncrasy. ...
doi:10.17261/pressacademia.2020.1245
fatcat:y747jx3jqnegnchdu5ycjsmccu
NLP in FinTech Applications: Past, Present and Future
[article]
2020
arXiv
pre-print
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After summarizing the past and the recent challenges, we highlight several promising future research directions in the trend of FinTech and the open finance tendency. ...
Both formal documents and informal textual data are analyzed to understand corporate customers and personal customers. ...
For each application scenario, we review previous work, summarize the main idea of different methods, and provide the perspectives for future research directions. ...
arXiv:2005.01320v1
fatcat:74hgnfpkbjbxzn5asnhxynu72q
Data Mining Methods and Techniques for Online Customer Review Analysis: A Literature Review
2021
Journal of system and management sciences
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Data mining is an older term but is gaining importance in today's world. It is an art of extracting hidden information from the large data sets. ...
Data mining tools can help to uncover the hidden knowledge in the large datasets and help in understanding customers in a better way. This paper reviews text mining basically online customer reviews. ...
This research paper has also addressed the current challenges and future directions. ...
doi:10.33168/jsms.2021.0301
fatcat:dr5toeb6hvhrzd3h5pcmhvdmce
Data Mining Methods and Techniques for Online Customer Review Analysis: A Literature Review
2021
Journal of system and management sciences
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The file type is application/pdf.
Data mining is an older term but is gaining importance in today's world. It is an art of extracting hidden information from the large data sets. ...
Data mining tools can help to uncover the hidden knowledge in the large datasets and help in understanding customers in a better way. This paper reviews text mining basically online customer reviews. ...
This research paper has also addressed the current challenges and future directions. ...
doi:10.33168/jsms.2021.0401
fatcat:ktzjspi47zaljg53wu7mu4u2su
Innovation and Challenges of Blockchain in Banking: A Scientometric View
2020
International Journal of Interactive Multimedia and Artificial Intelligence
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The relevant literature is extracted from Scopus, Web of Science and bibliometric techniques are applied. ...
A few practical and theoretical implications for stakeholders in view of technology, law and management are discussed. ...
Acknowledgment The first author is grateful for research scholarship support from National Institute of Technology Karnataka. ...
doi:10.9781/ijimai.2020.03.004
fatcat:lmruaip5i5ekxkuetcpbaxluqi
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