Microblog topic evolution computing based on LDA algorithm
Research on topic evolution of Microblog is an effective way to analyze network public opinions. This paper proposes a method for mining changing of Microblog topics with time, and realizes topic evolution through topic extraction and topic relevance calculation. Firstly, latent Dirichlet allocation...
Main Authors: | Jian Feng, Yajiao Wang, Yuanyuan Ding |
---|---|
Format: | Article |
Language: | English |
Published: |
De Gruyter
2018-08-01
|
Series: | Open Physics |
Subjects: | |
Online Access: | https://doi.org/10.1515/phys-2018-0067 |
Similar Items
-
Localization and recognition algorithm for fuzzy anomaly data in big data networks
by: Zhang Huajie, et al.
Published: (2018-12-01) -
A text-Image feature mapping algorithm based on transfer learning
by: Pan Deng, et al.
Published: (2018-12-01) -
Multi-target tracking algorithm in intelligent transportation based on wireless sensor network
by: Lei Yang, et al.
Published: (2018-12-01) -
Fast recognition algorithm for static traffic sign information
by: Guo Shaocui, et al.
Published: (2018-12-01) -
A cloud computing separation model based on information flow
by: Ma Wei, et al.
Published: (2019-04-01)