Event detection in finance using hierarchical clustering algorithms on news and tweets

S Carta, S Consoli, L Piras, AS Podda… - Peerj computer …, 2021 - peerj.com
In the current age of overwhelming information and massive production of textual data on
the Web, Event Detection has become an increasingly important task in various application …

A graphical decomposition and similarity measurement approach for topic detection from online news

K **ao, Z Qian, B Qin - Information Sciences, 2021 - Elsevier
Topic detection aims to discover valuable topics from the massive online news. It can help
people to capture what is happening in real world and alleviate the burden of information …

News topic detection based on capsule semantic graph

S Yang, Y Tang - Big Data Mining and Analytics, 2022 - ieeexplore.ieee.org
Most news topic detection methods use word-based methods, which easily ignore the
relationship among words and have semantic sparsity, resulting in low topic detection …

A new procedure for assessing and predicting the severity of accidents: A case study on freight-train derailments

J Liu, Y Wang, C Deng, F Hou, Z **, L Qiao… - Journal of Loss …, 2025 - Elsevier
Severity assessment is considered as the key steps of risk assessment in process safety
management. A procedure for the assessment and prediction of accident severity to improve …

Polarized image near-natural color fusion algorithm for target detection

J Meng, T Cao, J Peng, Z Wang, S Wang - Applied Optics, 2022 - opg.optica.org
In some automatic systems, target detection is a common task, and visible images are
common sources of raw data. Researchers have confirmed that polarization information …

[PDF][PDF] 준 실시간 뉴스 이슈 분석을 위한 계층적· 점증적 군집화

김호용, 이승우, 장홍준, 서동민 - 한국콘텐츠학회논문지, 2020 - academia.edu
요약실시간으로 발생하는 뉴스 기사로부터 이슈를 분석하기 위한 다양한 연구가 진행되어
왔다. 하지만 범주에따라 계층적으로 이슈를 분석하는 연구는 많이 진행되지 않았고, 계층적 …

Information diffusion in online social networks: A compilation

Y Hu, M Aiello, C Hu - Journal of computational science, 2018 - Elsevier
The process of diffusion of various types of information, like technological innovations, news,
trending topics, and opinions, is described as a contagion that spreads from user to user like …

Metaheuristic enabled hot event detection and product recommendation in social media data streams

MG Thomas, S Senthil - International Journal of …, 2023 - inderscienceonline.com
In this study, a unique system that recognises hot events and reliably integrates them with
product recommendation systems is modelled. The correlation between the detected hot …

Online News: Event Detection and Community Identification

RV Kulkarni, S Suryawanshi, A Shirsath… - … on Information and …, 2024 - Springer
Nowadays, reading online news is very common among people. The amount of information
on the web is growing at a rapid pace, which is driving up the consumption of online news …

A novel event detection model based on graph convolutional network

P Zhou, B Zhang, B Wu, Y Luo, N Ning… - … Conference on Web …, 2020 - Springer
With the rapid development of society, economy, politics and science, there is a vast amount
of collected daily news reports. How to detect news events and discover the underlying …