Communications and Network

Vol.4 No.3(2012), Paper ID 22061, 7 pages

DOI:10.4236/cn.2012.43023

 

Gender Identification on Twitter Using the Modified Balanced Winnow

 

William Deitrick, Zachary Miller, Benjamin Valyou, Brian Dickinson, Timothy Munson, Wei Hu

 

Department of Computer Science, Houghton College, New York, USA
Department of Computer Science, Houghton College, New York, USA
Department of Computer Science, Houghton College, New York, USA
Department of Computer Science, Houghton College, New York, USA
Department of Computer Science, Houghton College, New York, USA
Department of Computer Science, Houghton College, New York, USA

 

Copyright © 2012 William Deitrick, Zachary Miller, Benjamin Valyou, Brian Dickinson, Timothy Munson, Wei Hu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

 

How to Cite this Article


W. Deitrick, Z. Miller, B. Valyou, B. Dickinson, T. Munson and W. Hu, "Gender Identification on Twitter Using the Modified Balanced Winnow," Communications and Network, Vol. 4 No. 3, 2012, pp. 189-195. doi: 10.4236/cn.2012.43023.

Copyright © 2024 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.