Week 11 Readings

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This week, there are again 3 relatively short papers to read and prepare to discuss.

  • Pak, A. and Paroubek, P. 2010: Twitter as a corpus for sentiment analysis and opinion mining. {This paper This paper deals with sentiment analysis of twitter data. It complements some recent papers we have read. As with those other papers, it does not apply visual analytics, so one focus of discussion should be on how it might do so}. Suggested by: Eun-Kyeong Kim
  • Boulos, M.N.K., Sanfilippo, A.P., Corley, C.D. and Wheeler, S. 2010: Social Web mining and exploitation for serious applications: Technosocial Predictive Analytics and related technologies for public health, environmental and national security surveillance. Computer Methods and Programs in Biomedicine 100, 16-23. {This paper, as the authors say "This paper explores Technosocial Predictive Analytics (TPA) and related methods for Web "data mining" where users' posts and queries are garnered from SocialWeb ("Web 2.0") tools such as blogs, micro-blogging and social networking sites to form coherent representations of real-time health events."}. Suggested by: Gloria Kim
  • Duckham, M. and Kulik, L. 2005: A formal model of obfuscation and negotiation for location privacy. Pervasive Computing, 243-251. {This paper addresses the issue of user privacy related to location-linked data in a formal way, tacking a computational approach to obfusction of a user's location while preserving the information required by a service. While the motivation was location-based services more than data captured from social media, similar issues exist across these domains.} Suggested by: Ryan Mullins

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