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دسته بندی:
داده های بزرگ - big data
سال انتشار:
2018
عنوان انگلیسی مقاله:
Web Media and Stock Markets : A Survey and Future Directions from a Big Data Perspective
ترجمه فارسی عنوان مقاله:
رسانه های وب و بازار سهام: مرور و دستورالعمل های آینده از یک چشم انداز داده های بزرگ
منبع:
IEEE - IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, VOL: 30, NO: 2, FEBRUARY 2018
نویسنده:
Qing Li، Yan Chen, Jun Wang, Yuanzhu Chen,Hsinchun Chen
چکیده انگلیسی:
Stock market volatility is influenced by information release, dissemination, and public acceptance. With the increasing
volume and speed of social media, the effects of Web information on stock markets are becoming increasingly salient. However,
studies of the effects of Web media on stock markets lack both depth and breadth due to the challenges in automatically acquiring and
analyzing massive amounts of relevant information. In this study, we systematically reviewed 229 research articles on quantifying the
interplay between Web media and stock markets from the fields of Finance, Management Information Systems, and Computer
Science. In particular, we first categorized the representative works in terms of media type and then summarized the core techniques
for converting textual information into machine-friendly forms. Finally, we compared the analysis models used to capture the hidden
relationships between Web media and stock movements. 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 of
investors cognitive behaviors, corporate governance, and stock market regulation
Index Terms: Computing methodologies, text mining, financial market, stocks, big data, social media, news
قیمت: رایگان
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