News-based intelligent prediction of financial markets using text mining and machine learning: A systematic literature review
MN Ashtiani, B Raahemi - Expert Systems with Applications, 2023 - Elsevier
Researchers and practitioners have attempted to predict the financial market by analyzing
textual (eg, news articles and social media) and numeric data (eg, hourly stock prices, and …
textual (eg, news articles and social media) and numeric data (eg, hourly stock prices, and …
A comprehensive survey on portfolio optimization, stock price and trend prediction using particle swarm optimization
A Thakkar, K Chaudhari - Archives of Computational Methods in …, 2021 - Springer
Stock market trading has been a subject of interest to investors, academicians, and
researchers. Analysis of the inherent non-linear characteristics of stock market data is a …
researchers. Analysis of the inherent non-linear characteristics of stock market data is a …
A novel multi-source information-fusion predictive framework based on deep neural networks for accuracy enhancement in stock market prediction
The stock market is very unstable and volatile due to several factors such as public
sentiments, economic factors and more. Several Petabytes volumes of data are generated …
sentiments, economic factors and more. Several Petabytes volumes of data are generated …
Predicting stock price trends based on financial news articles and using a novel twin support vector machine with fuzzy hyperplane
PY Hao, CF Kung, CY Chang, JB Ou - Applied Soft Computing, 2021 - Elsevier
This study extracts the hidden topic model and emotional information from news articles. A
novel fuzzy twin support vector machine is also developed to merge the large volume of …
novel fuzzy twin support vector machine is also developed to merge the large volume of …
Attention-based modality-gated networks for image-text sentiment analysis
Sentiment analysis of social multimedia data has attracted extensive research interest and
has been applied to many tasks, such as election prediction and products evaluation …
has been applied to many tasks, such as election prediction and products evaluation …
Predicting stock trend using an integrated term frequency–inverse document frequency-based feature weight matrix with neural networks
A Thakkar, K Chaudhari - Applied Soft Computing, 2020 - Elsevier
The financial market consists of various money-making strategies wherein trading through a
stock market is an important example. The complex non-linear behaviors of volatile stock …
stock market is an important example. The complex non-linear behaviors of volatile stock …
[HTML][HTML] Jointly modeling transfer learning of industrial chain information and deep learning for stock prediction
The prediction of stock price has always been a main challenge. The time series of stock
price tends to exhibit very strong nonlinear characteristics. In recent years, with the rapid …
price tends to exhibit very strong nonlinear characteristics. In recent years, with the rapid …
Machine learning techniques for emotion detection and sentiment analysis: current state, challenges, and future directions
A Alslaity, R Orji - Behaviour & Information Technology, 2024 - Taylor & Francis
Emotion detection and Sentiment analysis techniques are used to understand polarity or
emotions expressed by people in many cases, especially during interactive systems use …
emotions expressed by people in many cases, especially during interactive systems use …
Supervised machine learning method for ontology-based financial decisions in the stock market
For changing semantics, ontological and information presentation, as well as computational
linguistics for Asian social networks, are one of the most essential platforms for offering …
linguistics for Asian social networks, are one of the most essential platforms for offering …
Sentiment analysis on social media tweets using dimensionality reduction and natural language processing
Social media has been embraced by different people as a convenient and official medium of
communication. People write or share messages and attach images and videos on Twitter …
communication. People write or share messages and attach images and videos on Twitter …