Financial time series forecasting with deep learning: A systematic literature review: 2005–2019
Financial time series forecasting is undoubtedly the top choice of computational intelligence
for finance researchers in both academia and the finance industry due to its broad …
for finance researchers in both academia and the finance industry due to its broad …
Deep learning for financial applications: A survey
Computational intelligence in finance has been a very popular topic for both academia and
financial industry in the last few decades. Numerous studies have been published resulting …
financial industry in the last few decades. Numerous studies have been published resulting …
Incorporating stock prices and news sentiments for stock market prediction: A case of Hong Kong
Stock prediction via market data analysis is an attractive research topic. Both stock prices
and news articles have been employed in the prediction processes. However, how to …
and news articles have been employed in the prediction processes. However, how to …
An optimal deep learning-based LSTM for stock price prediction using twitter sentiment analysis
T Swathi, N Kasiviswanath, AA Rao - Applied Intelligence, 2022 - Springer
Abstract Stock Price Prediction is one of the hot research topics in financial engineering,
influenced by economic, social, and political factors. In the present stock market, the positive …
influenced by economic, social, and political factors. In the present stock market, the positive …
Predicting stock prices with finbert-lstm: Integrating news sentiment analysis
W jun Gu, Y hao Zhong, S zun Li, C song Wei… - Proceedings of the …, 2024 - dl.acm.org
The stock market's ascent typically mirrors the flourishing state of the economy, whereas its
decline is often an indicator of an economic downturn. Therefore, for a long time, significant …
decline is often an indicator of an economic downturn. Therefore, for a long time, significant …
LSTM based stock prediction using weighted and categorized financial news
S Usmani, JA Shamsi - PloS one, 2023 - journals.plos.org
A significant correlation between financial news with stock market trends has been explored
extensively. However, very little research has been conducted for stock prediction models …
extensively. However, very little research has been conducted for stock prediction models …
Stock price prediction incorporating market style clustering
Market style analysis is critical when designing a stock price prediction framework. Under
different market styles, stocks may show quite different behaviors; thus, predictions will vary …
different market styles, stocks may show quite different behaviors; thus, predictions will vary …
Stock prediction via sentimental transfer learning
Stock prediction is always an attractive problem. With the expansion of information sources,
news-driven stock prediction based on sentiments of social media, such as sentiment …
news-driven stock prediction based on sentiments of social media, such as sentiment …
SCANCPECLENS: A framework for automatic lexicon generation and sentiment analysis of micro blogging data on China Pakistan economic corridor
B Amina, T Azim - IEEE Access, 2019 - ieeexplore.ieee.org
With the growing availability of internet and opinion rich resources such as social networks
and personal blogs, the task of mining public opinion and exploring facts has become more …
and personal blogs, the task of mining public opinion and exploring facts has become more …
Automatic approach of sentiment lexicon generation for mobile shopping reviews
The dramatic increase in the use of smartphones has allowed people to comment on various
products at any time. The analysis of the sentiment of users' product reviews largely …
products at any time. The analysis of the sentiment of users' product reviews largely …