Z Jin, Y Yang, Y Liu - Neural Computing and Applications, 2020 - Springer
Stock market prediction has been identified as a very important practical problem in the economic field. However, the timely prediction of the market is generally regarded as one of …
This exploratory work reviews the research work undertaken to study the impact of the information content of the Internet, available through online news articles and various social …
Prior research has examined how companies exploit Twitter in communicating with investors, and whether Twitter activity predicts the stock market as a whole. We test whether …
G Ranco, D Aleksovski, G Caldarelli, M Grčar… - PloS one, 2015 - journals.plos.org
Social media are increasingly reflecting and influencing behavior of other complex systems. In this paper we investigate the relations between a well-known micro-blogging platform …
TM Nisar, M Yeung - The journal of finance and data science, 2018 - Elsevier
In order to explore the relationship between politics-related sentiment and FTSE 100 movements, we conducted a short-window event study of a UK based political event. We …
Microblogs are increasingly exploited for predicting prices and traded volumes of stocks in financial markets. However, it has been demonstrated that much of the content shared in …
D Garcia, F Schweitzer - Royal Society open science, 2015 - royalsocietypublishing.org
The availability of data on digital traces is growing to unprecedented sizes, but inferring actionable knowledge from large-scale data is far from being trivial. This is especially …
Social media analytics is showing promise for the prediction of financial markets. However, the true value of such data for trading is unclear due to a lack of consensus on which …
Since the dawn of Humanity, the progress machine tirelessly introduced tools and resources that facilitated our everyday tasks. Over the years, new technologies have continually …