A Multi-Method Survey on the Use of Sentiment Analysis in Multivariate Financial Time Series Forecasting

A generic framework for sentiment analysis: Leveraging opinion-bearing data to inform decision making

(2020) Jacqueline Kazmaier et al.   DECISION SUPPORT SYSTEMS

An improved deep learning model for predicting stock market price time series

(2020) Hui Liu et al.   DIGITAL SIGNAL PROCESSING

A novel ensemble method for hourly residential electricity consumption forecasting by imaging time series

(2020) Guoqiang Zhang et al.   ENERGY

Stock movement prediction with sentiment analysis based on deep learning networks

(2020) Yong Shi et al.   CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE

An Experimental Review on Deep Learning Architectures for Time Series Forecasting

(2020) Pedro Lara-Benitez et al.   International Journal of Neural Systems

Stock closing price prediction based on sentiment analysis and LSTM

(2019) Zhigang Jin et al.   NEURAL COMPUTING & APPLICATIONS

Light Gradient Boosting Machine: An efficient soft computing model for estimating daily reference evapotranspiration with local and external meteorological data

(2019) Junliang Fan et al.   AGRICULTURAL WATER MANAGEMENT

How textual quality of online reviews affect classification performance: a case of deep learning sentiment analysis

(2018) Lin Li et al.   NEURAL COMPUTING & APPLICATIONS

Time series forecasting of petroleum production using deep LSTM recurrent networks

(2018) Alaa Sagheer et al.   NEUROCOMPUTING

Good debt or bad debt: Detecting semantic orientations in economic texts

(2013) Pekka Malo et al.   Journal of the Association for Information Science and Technology

Rainfall forecasting by technological machine learning models

(2008) Wei-Chiang Hong   APPLIED MATHEMATICS AND COMPUTATION

Regularized least squares fuzzy support vector regression for financial time series forecasting

(2007) Reshma Khemchandani et al.   EXPERT SYSTEMS WITH APPLICATIONS