Sentiment analysis for measuring hope and fear from Reddit posts during the 2022 Russo-Ukrainian conflict
A Guerra, O Karakuş - Frontiers in Artificial Intelligence, 2023 - frontiersin.org
This article proposes a novel lexicon-based unsupervised sentiment analysis method to
measure the “hope” and “fear” for the 2022 Ukrainian-Russian Conflict. Reddit. com is …
measure the “hope” and “fear” for the 2022 Ukrainian-Russian Conflict. Reddit. com is …
Analysis of the impact of investor sentiment on stock price using the latent dirichlet allocation topic model
M Chen, Z Guo, K Abbass, W Huang - Frontiers in Environmental …, 2022 - frontiersin.org
Investor sentiment has always been an active research topic in finance. In recent years, text
mining, machine learning and sentiment analysis have been very fruitful, and researchers …
mining, machine learning and sentiment analysis have been very fruitful, and researchers …
FollowAKOInvestor: Stock recommendation by hearing voices from all kinds of investors with machine learning
C Qin, J Chang, W Tu, C Yu - Expert Systems with Applications, 2024 - Elsevier
As an increasing number of investors share their opinions on social networks, a critical
challenge is to provide advice and assistance in making well-informed investment decisions …
challenge is to provide advice and assistance in making well-informed investment decisions …
Quantum Probability Theoretic Asset Return Modeling: A Novel Schr\" odinger-Like Trading Equation and Multimodal Distribution
L Lin - arXiv preprint arXiv:2401.05823, 2024 - arxiv.org
Quantum theory provides a comprehensive framework for quantifying uncertainty, often
applied in quantum finance to explore the stochastic nature of asset returns. This …
applied in quantum finance to explore the stochastic nature of asset returns. This …