Bursty event detection in Twitter streams
Social media, in recent years, have become an invaluable source of information for both
public and private organizations to enhance the comprehension of people interests and the …
public and private organizations to enhance the comprehension of people interests and the …
A survey on trends of cross-media topic evolution map
Rapid advancements in internet and social media technologies have made “information
overload” a rampant and widespread problem. Complex subjects, histories, or issues break …
overload” a rampant and widespread problem. Complex subjects, histories, or issues break …
Questions about questions: An empirical analysis of information needs on twitter
Conventional studies of online information seeking behavior usually focus on the use of
search engines or question answering (Q&A) websites. Recently, the fast growth of online …
search engines or question answering (Q&A) websites. Recently, the fast growth of online …
Cross-media correlation learning for web video event mining with integrated text semantics and network structural information
C Zhang, G Liu, X Xiao - Neural Computing and Applications, 2023 - Springer
Recently, cross-media web video event mining based on heterogeneous information
networks (HIN) has attracted extensive attention. However, each web video is described by …
networks (HIN) has attracted extensive attention. However, each web video is described by …
Creation and growth of online social network: How do social networks evolve?
Social networks are an example of complex systems consisting of nodes that can interact
with each other and based on these activities the social relations are defined. The dynamics …
with each other and based on these activities the social relations are defined. The dynamics …
Sentiment-based and hashtag-based Chinese online bursty event detection
Z Xiaomei, Y Jing, Z Jianpei - Multimedia Tools and Applications, 2018 - Springer
How to detect bursty events in data streams on social media is a hot research topic in natural
language processing. However, current methods for extracting bursty events suffer from poor …
language processing. However, current methods for extracting bursty events suffer from poor …
An approach of bursty event detection in social networks based on topological features
J Yang, Y Wu - Applied Intelligence, 2022 - Springer
User relations and information propagation on social networks can reflect events in real
society. Online detection of bursty events is of great significance to studying the evolution of …
society. Online detection of bursty events is of great significance to studying the evolution of …
Evolutionary taxonomy construction from dynamic tag space
Collaborative tagging becomes a common feature of current web sites, facilitating ordinary
users to annotate and represent online resources. The large collection of tags and their …
users to annotate and represent online resources. The large collection of tags and their …
Spatio-temporal characteristics of bursty words in Twitter streams
Social networking and microblogging services such as Twitter provide a continuous source
of data from which useful information can be extracted. The detection and characterization of …
of data from which useful information can be extracted. The detection and characterization of …
Cross-media web video event mining based on multiple semantic-paths embedding
X Xiao, M Du, S Xu, G Liu, C Zhang - Neural Computing and Applications, 2024 - Springer
Web video event mining based on cross-media fusion has become a research hotspot.
However, each video is only described by a dozen noisy words, resulting in extremely …
However, each video is only described by a dozen noisy words, resulting in extremely …