My name is Rushin Shah, and I'm a second year LTI Master's student. I work in the field of entity extraction and resolution, and I'm really interested in performing research in these areas on new kinds of data, such as short message streams produced by social media websites. I'm also interested in analyzing the properties of social networks, and these are some of my main motivations for taking the Analysis of Social Media course. Also, I took the Information Extraction course last semester, and I'm interested to see if I can successfully apply the some of the techniques and algorithms taught in that class to social media.
Blurb for Information Extraction, 2010:
I want to get an in-depth understanding of the various challenges, ideas and techniques covered in the field of information extraction. I'm currently working with Dr. Robert Frederking on multilingual named entity extraction and co-reference resolution. One particular problem that we're working on right now is cross-document co-reference resolution, and I hope to be able to apply the knowledge that I get from this course towards furthering our research.
Wiki Pages for Analysis of Social Media
- Leskovec, J., L. Backstrom, and J. Kleinberg. 2009. Meme-tracking and the Dynamics of the News Cycle. In Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining, 497–506.
- Leskovec, Backstrom and Kleinberg KDD 09 News and Blog dataset
- Sun, E., I. Rosenn, C. A Marlow, and T. M Lento. Gesundheit! Modeling Contagion through Facebook News Feed. Proc. ICWSM 9.
- Rao, D., D. Yarowsky, A. Shreevats, and M. Gupta. 2010. Classifying latent user attributes in twitter. In Proceedings of the 2nd international workshop on Search and mining user-generated contents, 37–44.
- Negative Binomial Regression
- Support Vector Machines
Presentation for Analysis of Social Media
Wiki Pages for Information Extraction