Using Twitter to predict the stock market: where is the mood effect?

M Nofer, O Hinz - Business & Information Systems Engineering, 2015 - Springer
Behavioral finance researchers have shown that the stock market can be driven by emotions
of market participants. In a number of recent studies mood levels have been extracted from …

Analyzing COVID-19 on online social media: Trends, sentiments and emotions

X Li, M Zhou, J Wu, A Yuan, F Wu, J Li - arXiv preprint arXiv:2005.14464, 2020 - arxiv.org
At the time of writing, the ongoing pandemic of coronavirus disease (COVID-19) has caused
severe impacts on society, economy and people's daily lives. People constantly express …

Word sense disambiguation application in sentiment analysis of news headlines: an applied approach to FOREX market prediction

S Seifollahi, M Shajari - Journal of Intelligent Information Systems, 2019 - Springer
Sentiment analysis of textual content has become a popular approach for market prediction.
However, lack of a process for word sense disambiguation makes it questionable whether …

A user-centric analysis of social media for stock market prediction

MR Bouadjenek, S Sanner, G Wu - ACM Transactions on the Web, 2023 - dl.acm.org
Social media platforms such as Twitter or StockTwits are widely used for sharing stock
market opinions between investors, traders, and entrepreneurs. Empirically, previous work …

Using social media to identify consumers' sentiments towards attributes of health insurance during enrollment season

EM van den Broek-Altenburg, AJ Atherly - Applied Sciences, 2019 - mdpi.com
Featured Application The health insurance choice literature has found that financial
considerations, such as premiums, deductible, and maximum out-of-pocket spending caps …

Predicting equity markets with digital online media sentiment: Evidence from Markov-switching models

SJ Nooijen, SA Broda - Journal of Behavioral Finance, 2016 - Taylor & Francis
The authors examine the predictive capabilities of online investor sentiment for the returns
and volatility of MSCI US Equity Sector Indices by including exogenous variables in the …

[图书][B] The value of social media for predicting stock returns: preconditions, instruments and performance analysis

M Nofer - 2015 - books.google.com
Michael Nofer examines whether and to what extent Social Media can be used to predict
stock returns. Market-relevant information is available on various platforms on the Internet …

[HTML][HTML] Predicting the stock price movement by social media analysis

S Chen, T Gao, Y He, Y Jin - Journal of Data Analysis and Information …, 2019 - scirp.org
Prediction of stock trend has been an intriguing topic and is extensively studied by
researchers from diversified fields. Machine learning, a well-established algorithm, has been …

Could emotional markers in twitter posts add information to the stock market ARMAX-GARCH model

A Porshnev, V Lakshina, I Redkin - Higher School of Economics …, 2016 - papers.ssrn.com
In our paper, we analyze the possibility of improving the prediction of stock market indicators
by adding information about public mood derived from Twitter posts. To estimate public …

Machine Learning Sentiment Analysis in Detection System for Rupiah Currency Value Using SysML Language

R Aurachman, L Ramadani… - Journal of Physics …, 2021 - iopscience.iop.org
Currency values fluctuate. Some research has tried to find ways to predict the value. One
that can be a sign and a trigger for changes in currency values is the people's sentiment …