A comprehensive analysis of privacy-preserving solutions developed for online social networks
Owning to the massive growth in internet connectivity, smartphone technology, and digital
tools, the use of various online social networks (OSNs) has significantly increased. On the …
tools, the use of various online social networks (OSNs) has significantly increased. On the …
Event detection from real-time twitter streaming data using community detection algorithm
J Singh, D Pandey, AK Singh - Multimedia Tools and Applications, 2024 - Springer
The increasing popularity of social media services has led to more and more people using
Twitter. There are millions of tweets with a high amount of noisy data that propagate daily on …
Twitter. There are millions of tweets with a high amount of noisy data that propagate daily on …
Advancements of Artificial Intelligence Techniques in the Realm About Library and Information Subject—A Case Survey of Latent Dirichlet Allocation Method
X Pan, Y Xue - Ieee Access, 2023 - ieeexplore.ieee.org
To investigate the advancements of artificial intelligence techniques in the realm of library
and information subject, we have chosen the Latent Dirichlet Allocation method as a case …
and information subject, we have chosen the Latent Dirichlet Allocation method as a case …
DiEvD-SF: Disruptive Event Detection Using Continual Machine Learning With Selective Forgetting
Detecting disruptive events (DEs), such as riots, protests, and natural calamities, from social
media is essential for studying geopolitical dynamics. To automate the process, existing …
media is essential for studying geopolitical dynamics. To automate the process, existing …
A Semi-supervised Approach of Cluster-Based Topic Modeling for Effective Tweet Hashtag Recommendation
Twitter has emerged as a significant source of data to be used for text summarization, Topic
Modeling, document clustering, information retrieval, sentiment analysis, etc. Using …
Modeling, document clustering, information retrieval, sentiment analysis, etc. Using …
A semi-supervised approach of short text topic modeling using embedded fuzzy clustering for Twitter hashtag recommendation
Social media stands as a crucial information source across various real-world challenges.
Platforms like Twitter, extensively used by news outlets for real-time updates, categorize …
Platforms like Twitter, extensively used by news outlets for real-time updates, categorize …
Формування і аналіз мереж подій у сфері парламентського контролю на основі застосування систем штучного інтелекту
ДВ Ланде - Інформація і право, 2024 - il.ippi.org.ua
Анотація У статі наведено методологію формування і аналізу мережі подій в новинних
повідомленнях у сфері парламентського контролю на основі застосування …
повідомленнях у сфері парламентського контролю на основі застосування …
[PDF][PDF] Caracterización sectorial y de género de los Influenciadores de Medios Sociales en X
MMM Martos, MM Rojas-de-Gracia - Cuadernos. info, 2025 - revistanortegrande.uc.cl
Para llevar a cabo campañas de comunicación de marketing de influenciadores es
necesario estudiar su idoneidad y la de la red social a utilizar. Esta investigación pretende …
necesario estudiar su idoneidad y la de la red social a utilizar. Esta investigación pretende …
Event Detection and Evolution in Online Social Networks
X Sun - 2024 - figshare.le.ac.uk
This thesis delves into the analysis of online social networks, specifically focusing on event
detection and evolution. These networks, which have attracted billions of users, are a rich …
detection and evolution. These networks, which have attracted billions of users, are a rich …
Real-Time Anomaly Detection and Popularity Prediction for Emerging Events on Twitter
F Steuber, S Schneider, JAG Schneider… - Proceedings of the …, 2023 - dl.acm.org
Due to their high volume and data recency, communications from social media platforms
have become an excellent source for monitoring information diffusion. The insights …
have become an excellent source for monitoring information diffusion. The insights …