Multi-source aggregated classification for stock price movement prediction
Predicting stock price movements is a challenging task. Previous studies mostly used
numerical features and news sentiments of target stocks to predict stock price movements …
numerical features and news sentiments of target stocks to predict stock price movements …
Using natural language processing to analyse text data in behavioural science
Abstract Language is a uniquely human trait at the core of human interactions. The
language people use often reflects their personality, intentions and state of mind. With the …
language people use often reflects their personality, intentions and state of mind. With the …
Decision-making framework for sustainability-related supply chain risk management
MF Hsu - Computers & Industrial Engineering, 2025 - Elsevier
This research introduces practical insight into sustainable supply chain management (SCM),
by viewing it as a risk management procedure. Most sustainability-related messages are …
by viewing it as a risk management procedure. Most sustainability-related messages are …
Enriched latent dirichlet allocation for sentiment analysis
One of the main benefits of unsupervised learning is that there is no need for labelled data.
As a method of this category, latent Dirichlet allocation (LDA) estimates the semantic …
As a method of this category, latent Dirichlet allocation (LDA) estimates the semantic …
Identifying contextual content-based risk drivers for advanced risk management strategies
This research proposes a profound contextual topic identifier that incorporates topic
modelling and a word embedding technique to discover and quantify corporate risks from its …
modelling and a word embedding technique to discover and quantify corporate risks from its …
[HTML][HTML] Automated mortgage origination delay detection from textual conversations
For modern mortgage firms, the process of setting up and verifying a new loan, known as
origination, is complex and multifaceted. The literature notes that this process is rife with …
origination, is complex and multifaceted. The literature notes that this process is rife with …
Automated text mining process for corporate risk analysis and management
The aim of this research is to introduce innovative automated text mining process to extract
operation risks from accounting narratives and to further examine the association between …
operation risks from accounting narratives and to further examine the association between …
Integrating floor plans into hedonic models for rent price appraisal
Online real estate platforms have become significant marketplaces facilitating users' search
for an apartment or a house. Yet it remains challenging to accurately appraise a property's …
for an apartment or a house. Yet it remains challenging to accurately appraise a property's …
Predicting sentence-level polarity labels of financial news using abnormal stock returns
Expert systems for automatic processing of financial news commonly operate at the
document-level by counting positive and negative term-frequencies. This, however, limits …
document-level by counting positive and negative term-frequencies. This, however, limits …
The positive energy of netizens: development and application of fine-grained sentiment lexicon and emotional intensity model
W Pan, Y Han, J Li, E Zhang, B He - Current Psychology, 2023 - Springer
The outbreak of COVID-19 has led to a global health crisis and caused huge emotional
swings. However, the positive emotional expressions, like self-confidence, optimism, and …
swings. However, the positive emotional expressions, like self-confidence, optimism, and …