Short-term stock market price trend prediction using a comprehensive deep learning system
J Shen, MO Shafiq - Journal of big Data, 2020 - Springer
In the era of big data, deep learning for predicting stock market prices and trends has
become even more popular than before. We collected 2 years of data from Chinese stock …
become even more popular than before. We collected 2 years of data from Chinese stock …
Stock price prediction using CNN and LSTM-based deep learning models
S Mehtab, J Sen - … Conference on Decision Aid Sciences and …, 2020 - ieeexplore.ieee.org
Designing robust and accurate predictive models for stock price prediction has been an
active area of research over a long time. While on one side, the supporters of the efficient …
active area of research over a long time. While on one side, the supporters of the efficient …
A time series analysis-based stock price prediction using machine learning and deep learning models
S Mehtab, J Sen - International Journal of Business …, 2020 - inderscienceonline.com
Prediction of future movement of stock prices has always been a challenging task for
researchers. While the advocates of the efficient market hypothesis (EMH) believe that it is …
researchers. While the advocates of the efficient market hypothesis (EMH) believe that it is …
Detection and classification of social media-based extremist affiliations using sentiment analysis techniques
S Ahmad, MZ Asghar, FM Alotaibi, I Awan - Human-centric Computing and …, 2019 - Springer
Identification and classification of extremist-related tweets is a hot issue. Extremist gangs
have been involved in using social media sites like Facebook and Twitter for propagating …
have been involved in using social media sites like Facebook and Twitter for propagating …
False information detection in online content and its role in decision making: a systematic literature review
A Habib, MZ Asghar, A Khan, A Habib… - Social Network Analysis …, 2019 - Springer
This work presents a review of detecting false information and its role in decision making
spread across online content. The authenticity of information is an emerging issue that …
spread across online content. The authenticity of information is an emerging issue that …
Exploring deep neural networks for rumor detection
The widespread propagation of numerous rumors and fake news have seriously threatened
the credibility of microblogs. Previous works often focused on maintaining the previous state …
the credibility of microblogs. Previous works often focused on maintaining the previous state …
Senti‐eSystem: a sentiment‐based eSystem‐using hybridized fuzzy and deep neural network for measuring customer satisfaction
In the competing era of online industries, understanding customer feedback and satisfaction
is one of the important concern for any business organization. The well‐known social media …
is one of the important concern for any business organization. The well‐known social media …
Forecasting of NIFTY 50 index price by using backward elimination with an LSTM model
Predicting trends in the stock market is becoming complex and uncertain. In response,
various artificial intelligence solutions have emerged. A significant solution for predicting the …
various artificial intelligence solutions have emerged. A significant solution for predicting the …
Accurate stock price forecasting using robust and optimized deep learning models
J Sen, S Mehtab - 2021 International Conference on Intelligent …, 2021 - ieeexplore.ieee.org
Designing robust frameworks for precise prediction of future prices of stocks has always
been considered a very challenging research problem. The advocates of the classical …
been considered a very challenging research problem. The advocates of the classical …
A labeling method for financial time series prediction based on trends
Time series prediction has been widely applied to the finance industry in applications such
as stock market price and commodity price forecasting. Machine learning methods have …
as stock market price and commodity price forecasting. Machine learning methods have …