The Optimization Algorithm Based on Vector Space Model to Determine the Influence of Microblogging Text

Yu Chen Dong; Yan Liu; Jun Yong Luo; Jin Zhang

doi:10.4028/www.scientific.net/AMM.571-572.278

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 571-572The Optimization Algorithm Based on Vector Space...

The Optimization Algorithm Based on Vector Space Model to Determine the Influence of Microblogging Text

Abstract:

This article uses the vector space model to express microblogging text in quantity, via the cosine of the angle of text clustering method to calculate the similarity between the text. We can generate alternative microblogging hot cluster by centralized method, by adding the "microblogging impact Factor " into vector text mold of alternative hotspot clusters. In order to simulate the exclusive advantage of "star" in the information dissemination process of the real world, we use the alternative hotspot clusters which already weighted the "microblogging impact factor" to re-evaluate its characteristics of vector, to optimize the hot microblogging discovery algorithm and to make the sorting results more in line with the law of information dissemination, finally to give some suggestions and opinions on hot microblogging evaluation method.

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Periodical:

Applied Mechanics and Materials (Volumes 571-572)

Pages:

278-281

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.571-572.278

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Cite this paper

Online since:

June 2014

Authors:

Yu Chen Dong*, Yan Liu, Jun Yong Luo, Jin Zhang

Keywords:

Hot Microblogging, Impact Factor, Monitoring Public Opinion, Vector Space Model

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* - Corresponding Author

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