Proceedings of the 2018 International Conference on Transportation & Logistics, Information & Communication, Smart City (TLICSC 2018)

Hot Events Detection for Chinese Microblogs Based on the TH-LDA Model

Authors
Jiahui Chen, Qingxia Shang, Hailing Xiong
Corresponding Author
Qingxia Shang
Available Online December 2018.
DOI
https://doi.org/10.2991/tlicsc-18.2018.26How to use a DOI?
Keywords
Hot Events Detection; LDA Model; Chinese Microblogs.
Abstract
Nowadays, many unexpected topics in the society initiate on the microblog platform and spread rapidly, and some of them finally become hot events. The technology for detecting these hot events on the microblog platform, has exerted a very positive influence on the discovery of the latest social hotspots and the timely perception of the internet public opinion. This paper analyzed the studies for detecting microblog hot events, and disclosed the existing methods may omit the untagged microblogs and thus lead to the failure to detect the subevents. To address this issue, we combined Hashtag and Time with the topic model of LDA, and proposed the TH-LDA model to improve the effectiveness of hot events detection for Chinese microblogs. Experiments on microblogs datasets demonstrate that the proposed TH-LDA model can effectively obtain untagged microblogs, and then realize the subevents detection of hot events with a high accuracy.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
Part of series
Advances in Intelligent Systems Research
Publication Date
December 2018
ISBN
978-94-6252-621-1
ISSN
1951-6851
DOI
https://doi.org/10.2991/tlicsc-18.2018.26How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Jiahui Chen
AU  - Qingxia Shang
AU  - Hailing Xiong
PY  - 2018/12
DA  - 2018/12
TI  - Hot Events Detection for Chinese Microblogs Based on the TH-LDA Model
PB  - Atlantis Press
SP  - 157
EP  - 166
SN  - 1951-6851
UR  - https://doi.org/10.2991/tlicsc-18.2018.26
DO  - https://doi.org/10.2991/tlicsc-18.2018.26
ID  - Chen2018/12
ER  -