A probabilistic method for emerging topic tracking in microblog stream

J Huang, M Peng, H Wang, J Cao, W Gao, X Zhang - World Wide Web, 2017 - Springer
Microblog is a popular and open platform for discovering and sharing the latest news about
social issues and daily life. The quickly-updated microblog streams make it urgent to …

A review on lexicon-based and machine learning political sentiment analysis using tweets

A Britzolakis, H Kondylakis… - International Journal of …, 2020 - World Scientific
Sentiment analysis over social media platforms has been an active case of study for more
than a decade. This occurs due to the constant rising of Internet users over these platforms …

Microblogs data management: a survey

A Magdy, L Abdelhafeez, Y Kang, E Ong, MF Mokbel - The VLDB Journal, 2020 - Springer
Microblogs data is the microlength user-generated data that is posted on the web, eg,
tweets, online reviews, comments on news and social media. It has gained considerable …

Event detection and evolution in multi-lingual social streams

Y Liu, H Peng, J Li, Y Song, X Li - Frontiers of Computer Science, 2020 - Springer
Real-life events are emerging and evolving in social and news streams. Recent methods
have succeeded in capturing designed features of monolingual events, but lack of …

Event extraction with dynamic prefix tuning and relevance retrieval

H Huang, X Liu, G Shi, Q Liu - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
We consider event extraction in a generative manner with template-based conditional
generation. Although there is a rising trend of casting the task of event extraction as a …

Ring: Real-time emerging anomaly monitoring system over text streams

W Yu, J Li, MZA Bhuiyan, R Zhang… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Microblog platforms have been extremely popular in the big data era due to its real-time
diffusion of information. It's important to know what anomalous events are trending on the …

Event detection on twitter by mapping unexpected changes in streaming data into a spatiotemporal lattice

Z Shah, AG Dunn - IEEE transactions on big data, 2019 - ieeexplore.ieee.org
Many applications seek to make sense of high volume streaming data from social media by
identifying spatiotemporal patterns. Events, representing topics that emerge and decay over …

Combining informetrics and trend analysis to understand past and current directions in electronic design automation

CD Curiac, A Doboli - Scientometrics, 2022 - Springer
There has been increasing interest in the study of research communities with the goal of
optimizing their outcomes and impact. While current methods can predict future trends, they …

Detecting evolutionary stages of events on social media: A graph-kernel-based approach

L Mu, P Jin, J Zhao, E Chen - Future Generation Computer Systems, 2021 - Elsevier
Detecting the evolutionary stages of social media events such as Twitter and Sina Weibo is
beneficial for enterprises and governments to take necessary actions before emergent …

Lifecycle-based event detection from microblogs

L Mu, P Jin, L Zheng, EH Chen, L Yue - … of the The Web Conference 2018, 2018 - dl.acm.org
Microblog like Twitter and Sina Weibo has been an important information source for event
detection and monitoring. In many decision-making scenarios, it is not enough to only …