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In summary, this article provides a novel user-centric behavioral analysis of stock market predictions on social media that unveils a rich and varied mixture ...
This article seeks to address a number of open research questions: Which social media platform is more predictive of stock performance?
This project explores utilizing Long Short-Term Memory neural networks with Google Trends data to enhance prediction accuracy, and demonstrates the ...
Apr 2, 2023 · What posted content is actually predictive, and over what time horizon? How does stock market posting behavior vary among different users? Are ...
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A User-Centric Analysis of Social Media for Stock Market Prediction. Bouadjenek, M. R., Sanner, S., & Wu, G. ACM Trans. Web, Association for Computing ...
Aug 7, 2024 · This research focused on a method to predict the stock market using sentiment analysis in combination with FS data to improve the stock ...
In this study we argue that social media users who demonstrate an interest in finance can offer insights into ways in which irrational behaviors may affect a ...
Missing: Centric | Show results with:Centric
In this paper, seven different techniques of data mining are applied to predict stock price movement of Shanghai Composite Index.
Missing: User- | Show results with:User-
However, access to internet and social media helps investors make better decisions. Social media has turned into a source of information for investors.
Apr 9, 2015 · We expect that social media has a strong impact on a company's stock price. However, we are unsure if the impact is strong enough to be used ...