Broadly Improving User Classification via Communication-Based Name and Location Clustering on Twitter.
Shane BergsmaMark DredzeBenjamin Van DurmeTheresa WilsonDavid YarowskyPublished in: HLT-NAACL (2013)
Keyphrases
- location information
- unsupervised learning
- machine learning
- unsupervised classification
- k means
- clustering method
- social networks
- pattern recognition
- social media
- unsupervised clustering
- clustering algorithm
- feature extraction
- polarity classification
- micro blogging
- classification accuracy
- clustering analysis
- high dimensionality
- support vector
- short messages
- data clustering
- feature set
- support vector machine
- decision trees
- class labels
- classification algorithm
- classification method
- user interaction
- physical location
- supervised classification
- supervised learning
- feature selection
- feature space
- training set
- text messages
- geographic location
- physical space
- end users
- support vector machine svm
- user interests
- information sharing
- self organizing maps
- user profiles
- data sets