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Optimizing Automatic Text Classification Approach in Adaptive Online Collaborative Discussion–A Perspective of Attention Mechanism-Based Bi-LSTM
A text semantic classification is an essential approach to recognizing the verbal intention of
online learners, empowering reliable understanding, and inquiry for the regulations of …
online learners, empowering reliable understanding, and inquiry for the regulations of …
Advances in Human Event Modeling: From Graph Neural Networks to Language Models
Human events such as hospital visits, protests, and epidemic outbreaks directly affect
individuals, communities, and societies. These events are often influenced by factors such …
individuals, communities, and societies. These events are often influenced by factors such …
[HTML][HTML] Data-Driven Social Security Event Prediction: Principles, Methods, and Trends
N Xu, Z Sun - Applied Sciences, 2025 - mdpi.com
Social security event prediction can provide critical early warnings and support for public
policies and crisis responses. The rapid development of communication networks has …
policies and crisis responses. The rapid development of communication networks has …
Exploring the Chameleon Effect of Contextual Dynamics in Temporal Knowledge Graph for Event Prediction
The ability to forecast future events brings great benefits for society and cyberspace in many
public safety domains, such as civil unrest, pandemics and crimes. The occurrences of new …
public safety domains, such as civil unrest, pandemics and crimes. The occurrences of new …
Learning Evolutionary Stages with Hidden Semi‐Markov Model for Predicting Social Unrest Events
Social unrest events are common happenings in modern society which need to be
proactively handled. An effective method is to continuously assess the risk of upcoming …
proactively handled. An effective method is to continuously assess the risk of upcoming …
An online framework for temporal social unrest event prediction using news stream
Continuously assessing the risk of upcoming social unrest events and predict the likelihood
of these events are of great importance. Thanks to the era of big data, people's …
of these events are of great importance. Thanks to the era of big data, people's …
A survey on societal event forecasting with deep learning
Population-level societal events, such as civil unrest and crime, often have a significant
impact on our daily life. Forecasting such events is of great importance for decision-making …
impact on our daily life. Forecasting such events is of great importance for decision-making …
[PDF][PDF] Predicting incidents of crime through LSTM neural networks in smart city domain
Crimes are common social problems that affect the quality of life, economic growth and
reputation of a country. In smart cities, the aim is to reduce crime rates using Information and …
reputation of a country. In smart cities, the aim is to reduce crime rates using Information and …
Conflict or cooperation? predicting future tendency of international relations
International relations analysis is crucial to many stakeholders including policy makers,
executives in international companies or social scientists. Generally, recent events between …
executives in international companies or social scientists. Generally, recent events between …
Using social media to predict social unrest: A survey
RK Chahal, H Singh - AIP Conference Proceedings, 2023 - pubs.aip.org
There has been much research done on detecting relevant societal issues. Modeling real-
world events and behavior using social media data is gaining increased interest to identify …
world events and behavior using social media data is gaining increased interest to identify …