Multi-feature, multi-modal, and multi-source social event detection: A comprehensive survey
The tremendous growth of event dissemination over social networks makes it very
challenging to accurately discover and track exciting events, as well as their evolution and …
challenging to accurately discover and track exciting events, as well as their evolution and …
Latent Dirichlet allocation (LDA) and topic modeling: models, applications, a survey
Topic modeling is one of the most powerful techniques in text mining for data mining, latent
data discovery, and finding relationships among data and text documents. Researchers …
data discovery, and finding relationships among data and text documents. Researchers …
A survey of recent methods on deriving topics from Twitter: algorithm to evaluation
In recent years, studies related to topic derivation in Twitter have gained a lot of interest from
businesses and academics. The interconnection between users and information has made …
businesses and academics. The interconnection between users and information has made …
[图书][B] Natural language processing for social media
A Farzindar, D Inkpen, G Hirst - 2015 - Springer
In recent years, online social networking has revolutionized interpersonal communication.
The newer research on language analysis in social media has been increasingly focusing …
The newer research on language analysis in social media has been increasingly focusing …
Short text topic modelling approaches in the context of big data: taxonomy, survey, and analysis
BAH Murshed, S Mallappa, J Abawajy… - Artificial Intelligence …, 2023 - Springer
Social media platforms such as (Twitter, Facebook, and Weibo) are being increasingly
embraced by individuals, groups, and organizations as a valuable source of information …
embraced by individuals, groups, and organizations as a valuable source of information …
Disaster early warning and damage assessment analysis using social media data and geo-location information
D Wu, Y Cui - Decision support systems, 2018 - Elsevier
Societies are confronted with destructive natural disasters of increasing frequency. Social
networks are playing an increasingly important role as early warning systems, aiding with …
networks are playing an increasingly important role as early warning systems, aiding with …
A survey on real-time event detection from the Twitter data stream
The proliferation of social networking services has resulted in a rapid growth of their user
base, spanning across the world. The collective information generated from these online …
base, spanning across the world. The collective information generated from these online …
An integrated clustering and BERT framework for improved topic modeling
L George, P Sumathy - International Journal of Information Technology, 2023 - Springer
Topic modelling is a machine learning technique that is extensively used in Natural
Language Processing (NLP) applications to infer topics within unstructured textual data …
Language Processing (NLP) applications to infer topics within unstructured textual data …
STREAMCUBE: Hierarchical spatio-temporal hashtag clustering for event exploration over the Twitter stream
What is happening around the world? When and where? Mining the geo-tagged Twitter
stream makes it possible to answer the above questions in real-time. Although a single tweet …
stream makes it possible to answer the above questions in real-time. Although a single tweet …
A probabilistic method for emerging topic tracking in microblog stream
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 …
social issues and daily life. The quickly-updated microblog streams make it urgent to …