A Topic Study of Microblog Based on Specific Events

DOI

10.2991/isccca.2013.80How to use a DOI?

Keywords

topic model, microblog, trend

Abstract

This paper describes the study of topics on microblog based on specific events. First, we use a famous topic model – LDA to extract topics from microblog about events. Then, we propose three indexes: Attention Factor(AF), Evolution Factor(EF) to see the performance of microblog topics and Diversity Factor(DF) to calculate the divergence of topics from microblog and news reports. Finally, we choose corpuses for four events to study. The experiments show that, on specific events: 1) There are more critical topics, while factual topics less, and both of them get close AFs. 2) Critical topics last long on microblog and have lower EFs, which means their contents vary little, but factual topics last intermittently and their contents vary greatly. 3) To compare with the same events from news reports, critical topics use totally different words, but factual topics use close words.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Zhenyu Zhou
AU  - Fang Li
PY  - 2013/02
DA  - 2013/02
TI  - A Topic Study of Microblog Based on Specific Events
BT  - Proceedings of the 2nd International Symposium on Computer, Communication, Control and Automation (ISCCCA 2013)
PB  - Atlantis Press
SP  - 327
EP  - 330
SN  - 1951-6851
UR  - https://doi.org/10.2991/isccca.2013.80
DO  - 10.2991/isccca.2013.80
ID  - Zhou2013/02
ER  -