Paper: Identifying Multiple Userids of the Same Author

ACL ID D13-1113
Title Identifying Multiple Userids of the Same Author
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2013

This paper studies the problem of identifying users who use multiple userids to post in so- cial media. Since multiple userids may belong to the same author, it is hard to directly apply supervised learning to solve the problem. This paper proposes a new method, which still uses supervised learning but does not require train- ing documents from the involved userids. In- stead, it uses documents from other userids for classifier building. The classifier can be applied to documents of the involved userids. This is possible because we transform the document space to a similarity space and learning is performed in this new space. Our evaluation is done in the online review do- main. The experimental results using a large number of userids and their reviews show that the proposed m...