Natural language processing (NLP), or the pragmatic research perspective of computational
linguistics, has become increasingly powerful due to data availability and various …

We examine the research opportunities for the use of 'big data'in accounting and finance.
The purpose of the study is to present a snapshot of big data academic research in …

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 …

Opinion mining is considered as a subfield of natural language processing, information
retrieval and text mining. Opinion mining is the process of extracting human thoughts and …

We analyze the impact of sentiment and attention variables on the stock market volatility by
using a novel and extensive dataset that combines social media, news articles, information …

This paper aims to explore the impact of war attention on stock volatility predictability by
constructing a new war attention index and employing an extended GARCH-MIDAS-ES …

The recent COVID-19 pandemic represents an unprecedented worldwide event to study the
influence of related news on the financial markets, especially during the early stage of the …

We propose multilayer networks, including an investor sentiment layer and a stock return
layer, to study similarities and differences between investor sentiment connectedness and …

Financial data forecasting is conducive to get a better understanding of the future economic
situation. Recently, variational mode decomposition (VMD) is introduced into the field of …

News from traditional media has been used to facilitate the prediction of stock movement for
a long time. However, in recent times, online social networks (OSN) have played an …