Paper: Content+Context=Classification: Examining the Roles of Social Interactions and Linguist Content in Twitter User Classification

ACL ID W14-5909
Title Content+Context=Classification: Examining the Roles of Social Interactions and Linguist Content in Twitter User Classification
Venue Workshop on Natural Language Processing for Social Media
Session  
Year 2014
Authors

Twitter users demonstrate many characteristics via their online presence. Connections, commu- nity memberships, and communication patterns reveal both idiosyncratic and general properties of users. In addition, the content of tweets can be critical for distinguishing the role and impor- tance of a user. In this work, we explore Twitter user classification using context and content cues. We construct a rich graph structure induced by hashtags and social communications in Twitter. We derive features from this graph structure?centrality, communities, and local flow of information. In addition, we perform detailed content analysis on tweets looking at offensiveness and topics. We then examine user classification and the role of feature types (context, content) and learning methods (proposition...

@InProceedings{campbell-baseman-greenfield:2014:SocialNLP,
  author    = {Campbell, William  and  Baseman, Elisabeth  and  Greenfield, Kara},
  title     = {Content+Context=Classification: Examining the Roles of Social Interactions and Linguist Content in Twitter User Classification},
  booktitle = {Proceedings of the Second Workshop on Natural Language Processing for Social Media (SocialNLP)},
  month     = {August},
  year      = {2014},
  address   = {Dublin, Ireland},
  publisher = {Association for Computational Linguistics and Dublin City University},
  pages     = {59--65},
  url       = {http://www.aclweb.org/anthology/W14-5909}
}