Discover Overlapping Topical Regions by Geo-Semantic Clustering of Tweets.
Yuta TaniguchiDaiki MonzenLutfiana Sari AriestienDaisuke IkedaPublished in: AINA Workshops (2015)
Keyphrases
- short texts
- short text
- k means
- clustering algorithm
- social media
- unsupervised learning
- topic specific
- data clustering
- data points
- overlapping clustering
- geo location
- partially overlapping
- cluster analysis
- self organizing maps
- document clustering
- hierarchical clustering
- low level features
- semantic similarity
- automatically discovering
- natural language
- clustering method
- semantic web
- domain specific
- categorical data
- social networks
- high level
- rectangular regions
- tag information
- arbitrary shape
- image regions
- semantic network
- topic models
- region of interest
- named entities