SRTM: A Sparse RNN-Topic Model for Discovering Bursty Topics in Big Data of Social Networks.
Lei ShiJunping DuMeiYu LiangFei-Fei KouPublished in: J. Inf. Sci. Eng. (2019)
Keyphrases
- big data
- topic models
- social networks
- text streams
- social media
- latent dirichlet allocation
- social computing
- topic modeling
- latent topics
- text documents
- big data analytics
- cloud computing
- topic discovery
- generative model
- data analysis
- text mining
- probabilistic model
- co occurrence
- data management
- data processing
- business intelligence
- link prediction
- knowledge discovery
- social network analysis
- baseline models
- high dimensional
- graphical models
- statistical topic models
- probabilistic topic models
- latent topic model
- databases
- news articles
- data warehousing
- data model
- case study
- machine learning
- real world