Using Google Trends, Gaussian Mixture Models and DBSCAN for the Estimation of Twitter User Home Location.
Paola ZolaPaulo CortezMaurizio TesconiPublished in: ICCSA (5) (2020)
Keyphrases
- gaussian mixture model
- probability density
- mixture model
- social media
- density estimation
- feature vectors
- maximum likelihood criterion
- location information
- em algorithm
- gaussian mixture
- maximum likelihood
- speaker recognition
- expectation maximization
- variational bayes
- micro blogging
- search engine
- social networks
- finite mixtures
- log likelihood function
- social networking
- online social networks
- probability density function
- feature space
- collaborative filtering
- data mining
- clustering algorithm
- similarity measure