Tracking Events in Twitter by Combining an LDA-Based Approach and a Density-Contour Clustering Approach.
Yongli ZhangChristoph F. EickPublished in: Int. J. Semantic Comput. (2019)
Keyphrases
- clustering algorithm
- topic discovery
- clustering method
- density based clustering algorithm
- arbitrary shape
- real time
- contour tracking
- social media
- social networks
- latent dirichlet allocation
- event detection
- k means
- social networking
- generative model
- social media data
- particle filter
- principal component analysis
- linear discriminant analysis
- visual tracking
- topic detection
- deformable contour
- real world events
- discriminant analysis
- unsupervised learning
- face recognition
- high dimensionality
- cluster analysis
- particle filtering
- combining multiple
- surveillance videos
- human activities
- deformable objects
- kalman filter
- object tracking
- mean shift
- semi supervised
- feature extraction
- news media