Microblog Hot Event Detection Based on Restart Random Walk and Modularity - Archive ouverte HAL Access content directly
Conference Papers Year : 2018

Microblog Hot Event Detection Based on Restart Random Walk and Modularity

(1) , (1) , (1) , (1) , (1)
1

Abstract

Using traditional method to extract semantic relations between words hardly applied to micro-blog, which make finding hot event not sensitive. We propose a new method based on restart random walk and Modularity. The semantic relation between items is calculated by conducting the restart random walk iteratively on graph, and then the semantic correlation matrix is constructed. Next, the idea of Modularity is introduced to design algorithm for word clustering, which make a series of micro-blog hot events obtain. The experimental results show that our method has a higher accuracy compared with the kindred method, and hot events could be detected effectively.
Fichier principal
Vignette du fichier
473854_1_En_27_Chapter.pdf (603.85 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-02197791 , version 1 (30-07-2019)

Licence

Attribution - CC BY 4.0

Identifiers

Cite

Xiaohong Li, Jiheng Gong, Yuyin Ma, Huifang Ma, Na Qin. Microblog Hot Event Detection Based on Restart Random Walk and Modularity. 10th International Conference on Intelligent Information Processing (IIP), Oct 2018, Nanning, China. pp.274-283, ⟨10.1007/978-3-030-00828-4_27⟩. ⟨hal-02197791⟩
33 View
44 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More