[PDF][PDF] Deep Learning in Finance: A survey of Applications and techniques

E Mienye, N Jere, G Obaido, ID Mienye, K Aruleba - AI, 2024 - preprints.org
Machine learning (ML) has transformed the financial industry by enabling advanced
applications such as credit scoring, fraud detection, and market forecasting. At the core of …

Investigating the informativeness of technical indicators and news sentiment in financial market price prediction

SA Farimani, MV Jahan, AM Fard… - Knowledge-Based …, 2022 - Elsevier
Real-time market prediction tool tracking public opinion in specialized newsgroups and
informative market data persuades investors of financial markets. Previous works mainly …

The prediction of chiral metamaterial resonance using convolutional neural networks and conventional machine learning algorithms

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 …

Evaluation of transformer models for financial targeted sentiment analysis in Spanish

R Pan, JA García-Díaz, F Garcia-Sanchez… - PeerJ Computer …, 2023 - peerj.com
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 …

Stock trend prediction using deep learning approach on technical indicator and industrial specific information

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 …

An efficient word embedding and deep learning based model to forecast the direction of stock exchange market using Twitter and financial news sites: a case of …

ZH Kilimci, R Duvar - IEEE Access, 2020 - ieeexplore.ieee.org
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 …

[HTML][HTML] SSCDV: Social media document embedding with sentiment and topics for financial market forecasting

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 …

An Adaptive Multimodal Learning Model for Financial Market Price Prediction

SA Farimani, MV Jahan, AM Fard - IEEE Access, 2024 - ieeexplore.ieee.org
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 …

The comparison of language models with a novel text filtering approach for turkish sentiment analysis

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 …

A Survey About the Application of Artificial Intelligence in Search Engines: Opportunities and Challenges of Artificial Intelligence

R Ssemwogerere, AA Sajo, N Mutwalibi… - Handbook of Research …, 2023 - igi-global.com
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 …