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 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 …
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 …
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 …
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 …
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 …
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 …
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 …
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 …