Sentiment analysis has applications in diverse contexts such as in the gathering and
analysis of opinions of individuals about various products, issues, social, and political …

Mining financial text documents and understanding the sentiments of individual investors,
institutions and markets is an important and challenging problem in the literature. Current …

We investigate the influence of financial news headline sentiment on the predictability of
stock prices using Long Term Short Term Memory (LSTM) networks. The investigation is …

A pesar del relativamente escaso uso de técnicas de análisis textual y de análisis del
sentimiento en finanzas y contabilidad, éstas tienen un gran potencial en contabilidad, tanto …

To investigate the complex interactions between market events and investor sentiment, we
employ a multivariate Hawkes process to evaluate dynamic effects among four types of …

Purpose This study aims to develop two sentiment indices sourced from news stories and
corporate disclosures of the firms in the National Stock Exchange NIFTY 50 Index by …

This paper contributes to the advancement of noise trader theory by examining the
connection between aggregate news sentiment and stock market returns during days of …

A limited amount of previous research suggests that deteriorating socioeconomic conditions
may be associated with greater popularity of music lyrics featuring negative emotional …

Automation of financial data collection, generation, accumulation, and interpretation for
decision making may reduce volatility in the stock market and increase liquidity occasionally …

The stock market is usually regarded as the bellwether of the economy, which can reflect the
economic operation of a country or region. As a significant part of the financial market, the …