Automatic prediction of stock market behavior based on time series, text mining and sentiment analysis: a systematic review

N Pinto, L da Silva Figueiredo… - 2021 IEEE 24th …, 2021 - ieeexplore.ieee.org
Predicting stock market behavior is a challenge that has been studied and presented
several solutions in the literature. Due to technological advances, methodologies have …

Delineating infrastructure failure interdependencies and associated stakeholders through news mining: The case of Hong Kong's water pipe bursts

S Zhou, ST Ng, Y Yang, JF Xu - Journal of Management in …, 2020 - ascelibrary.org
The failure of one infrastructure system could trigger cascading impacts on other
interdependent infrastructures. In order to improve the management of diverse infrastructure …

Stock Market Dynamics Through Deep Learning Context

A Aminimehr, A Aminimehr, HM Kamali… - arxiv preprint arxiv …, 2024 - arxiv.org
Studies conducted on financial market prediction lack a comprehensive feature set that can
carry a broad range of contributing factors; therefore, leading to imprecise results …

The effect of chairman's statement tone changes in annual reports from Hong Kong

J Li, W Luo, X Deng - Journal of Physics: Conference Series, 2019 - iopscience.iop.org
The tone captures how the leaders of listed company confidence to the performance and
tone changes correlate with revisions of future outlook. Current predicting stock market …

Context-sensitive and attribute-based sentiment classification of online consumer-generated content

B Bansal, S Srivastava - Kybernetes, 2021 - emerald.com
Purpose Vast volumes of rich online consumer-generated content (CGC) can be used
effectively to gain important insights for decision-making, product improvement and brand …

From News to Sentiments and Stock Price Directions

F Chong, B Shanmugam - International Conference on Time Series and …, 2022 - Springer
Forecasting stock price direction using news sentiment has gained momentum as trading
activities are information driven in this digital era. News fuel pessimism or optimism in the …