Real-time market prediction tool tracking public opinion in specialized newsgroups and informative market data persuades investors of financial markets. Previous works mainly …
A Ural, ZH Kilimci - … of Computational and Experimental Science and …, 2021 - dergipark.org.tr
Electromagnetic resonance is the most important distinguishing property of metamaterials to examine many unusual phenomena. The resonant response of metamaterials can depend …
Nowadays, financial data from social media plays an important role to predict the stock market. However, the exponential growth of financial information and the different polarities …
K Prachyachuwong, P Vateekul - Information, 2021 - mdpi.com
A stock trend prediction has been in the spotlight from the past to the present. Fortunately, there is an enormous amount of information available nowadays. There were prior attempts …
To forecast the movement directions of stocks, exchange rates, and stock markets are significant and an active research area for investors, analysts, and researchers. In this …
K Ueda, H Suwa, M Yamada, Y Ogawa… - Expert Systems with …, 2024 - Elsevier
For reducing investment risks, predicting the volatility of financial markets is crucial. We propose a method for effectively embedding social media posts to facilitate accurate …
Investors' trading behavior is influenced by a multimode of information sources such as technical analysis, news dissemination, and sentiment, which results in the non-stationary …
ZA Guven - ACM Transactions on Asian and Low-Resource …, 2022 - dl.acm.org
Today, comments can be made on many topics on web platforms with the development of the internet. Analyzing the data of these comments is essential for companies and data …
Artificial intelligence (AI) mimics or stimulates human behaviors or thinking to solve specific problems. It has been applied in the analysis of huge datasets and provides reliable outputs …