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Theses and Projects: Difference between revisions
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→* New! Socioecomonic analysis based on spatiotemporal and linguistic analysis on microblogging data
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Please contact Dr. Tingting Yuan [tingting.yuan@cs.uni-goettingen.de] (B/M/P) | Please contact Dr. Tingting Yuan [tingting.yuan@cs.uni-goettingen.de] (B/M/P) | ||
=== * ''' | === * '''[Closed]''' Socioecomonic analysis based on spatiotemporal and linguistic analysis on microblogging data === | ||
Identifying the socioeconomic status (SES) of users in social media like Twitter or Weibo is useful e.g., for digitized advertisements and social policies. This study aims to collect profiles of Twitter users on selected topics such as culture or foreign language learning, extract the temporal, spatial and linguistic features, and compare different classification algorithms (e.g., decision tree, random forest, na\"{i}ve Bayes, deep learning, and Gaussian processes classifier) to predict the socioeconomic status. | Identifying the socioeconomic status (SES) of users in social media like Twitter or Weibo is useful e.g., for digitized advertisements and social policies. This study aims to collect profiles of Twitter users on selected topics such as culture or foreign language learning, extract the temporal, spatial and linguistic features, and compare different classification algorithms (e.g., decision tree, random forest, na\"{i}ve Bayes, deep learning, and Gaussian processes classifier) to predict the socioeconomic status. | ||
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Please contact Prof. Xiaoming Fu [fu@cs.uni-goettingen.de](B/M/P) | Please contact Prof. Xiaoming Fu [fu@cs.uni-goettingen.de](B/M/P) | ||
=== [Closed] Super resolution technique for efficient video delivery === | === [Closed] Super resolution technique for efficient video delivery === | ||