A survey of forex and stock price prediction using deep learning
Predictions of stock and foreign exchange (Forex) have always been a hot and profitable
area of study. Deep learning applications have been proven to yield better accuracy and …
area of study. Deep learning applications have been proven to yield better accuracy and …
Stock market prediction using machine learning techniques: a decade survey on methodologies, recent developments, and future directions
With the advent of technological marvels like global digitization, the prediction of the stock
market has entered a technologically advanced era, revamping the old model of trading …
market has entered a technologically advanced era, revamping the old model of trading …
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 survey on opinion mining and sentiment analysis: tasks, approaches and applications
With the advent of Web 2.0, people became more eager to express and share their opinions
on web regarding day-to-day activities and global issues as well. Evolution of social media …
on web regarding day-to-day activities and global issues as well. Evolution of social media …
Computational intelligence and financial markets: A survey and future directions
RC Cavalcante, RC Brasileiro, VLF Souza… - Expert Systems with …, 2016 - Elsevier
Financial markets play an important role on the economical and social organization of
modern society. In these kinds of markets, information is an invaluable asset. However, with …
modern society. In these kinds of markets, information is an invaluable asset. However, with …
A survey on semantic processing techniques
Semantic processing is a fundamental research domain in computational linguistics. In the
era of powerful pre-trained language models and large language models, the advancement …
era of powerful pre-trained language models and large language models, the advancement …
Listening to chaotic whispers: A deep learning framework for news-oriented stock trend prediction
Stock trend prediction plays a critical role in seeking maximized profit from the stock
investment. However, precise trend prediction is very difficult since the highly volatile and …
investment. However, precise trend prediction is very difficult since the highly volatile and …
Unsupervised text feature selection technique based on hybrid particle swarm optimization algorithm with genetic operators for the text clustering
LM Abualigah, AT Khader - The Journal of Supercomputing, 2017 - Springer
The text clustering technique is an appropriate method used to partition a huge amount of
text documents into groups. The documents size affects the text clustering by decreasing its …
text documents into groups. The documents size affects the text clustering by decreasing its …
Comprehensive review of text-mining applications in finance
Text-mining technologies have substantially affected financial industries. As the data in
every sector of finance have grown immensely, text mining has emerged as an important …
every sector of finance have grown immensely, text mining has emerged as an important …
[HTML][HTML] Text-based crude oil price forecasting: A deep learning approach
X Li, W Shang, S Wang - International Journal of Forecasting, 2019 - Elsevier
This study proposes a new, novel crude oil price forecasting method based on online media
text mining, with the aim of capturing the more immediate market antecedents of price …
text mining, with the aim of capturing the more immediate market antecedents of price …