Tweet Scrutiny For Fast Communication Reporting
Abstract
The major target of the system is develop a new earthquake detection algorithm it is used for To speed-up the detection process and  reduce false detections.But here having one problem is Absence of evidence is not evidence of absenceâ€Why? Because traditional phase associators do not know If the missing station is broken.  If not, when the pick for that station will be made available. That is used for Detection bases ONLY on the presence of picks in a certain time-window. Assumption: If the network is reliable, all the operating stations in the surrounding of the epicenter will detect ground motion change and the picker will produce a P-wave detections with a a priori known delay. If the network is reliable, we can look only at close stations.  The number of words in a tweet message and the position of the query within a tweet. We can apply methods for sensory data detection to tweets processing .
Keywords
References
S. Arulampalam, S. Maskell, N. Gordon, and
T. Clapp. A tutorial on particle filters for on-line
non-linear/non-gaussianbayesian tracking. IEEE
Transactions on Signal Processing, 2001.
L. Backstrom, J. Kleinberg, R. Kumar, and J. Novak. Spatial variation in search engine queries.In Proc. WWW2008, 2008.
T. Bleier and F. Freund.Earthquake warning system.Spectrum, IEEE, 2005.
K. Borau, C. Ullrich, J. Feng, and R. Shen.
Microblogging for language learning: Using twitter to train communicative and cultural competence. In
Proc. ICWL 2009, pages 78–87, 2009.
d. boyd, S. Golder, and G. Lotan. Tweet, tweet,
retweet: Conversational aspects of retweeting on
twitter. In Proc. HICSS-43, 2010.
M. Ebner and M. Schiefner. In microblogging.more than fun? In Proc. IADIS Mobile Learning Conference, 2008.
D. Fox, J. Hightower, L. Liao, D. Schulz, and
G. Borriello. Bayesian filters for location estimation. IEEE Pervasive Computing, 2003.
G. Grosseck and C. Holotescu. Analysis indicators for communities on microblogging platforms. In Proc. eLSE Conference, 2009.
J. Hightower and G. Borriello. Location systems for ubiquitous computing. IEEE Computer, 34(8):57–66,August 2001.
J. Hightower and G. Borriello. Particle filters for location estimation in ubiquitous computing: A case study. In Proc. UbiComp04, 2004.
B. Huberman and D. R. F. Wu. Social networks that matter: Twitter under the microscope. First Monday,14, 2009.
B. Jansen, M. Zhang, K. Sobel, and A. Chowdury.Twitter power:tweets as electronic word of mouth.Journal of the American Society for Information Science and Technology, 2009.
A. Java, X. Song, T. Finin, and B. Tseng. Why we twitter: Understanding microblogging usage and communities. In Proc. Joint 9th WEBKDD and 1st SNA-KDD Workshop 2007, 2007.
T. Joachims. Text categorization with support vector machines. In Proc. ECML’98, pages 137–142, 1998.
J. Leskovec, L. Adamic, and B. Huberman. Thedynamics of viral marketing. In Proc. ACM
Conference on Electronic Commerce, 2006.
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