Documents topic classification model in social networks using classifiers voting system.
Hyeoncheol LeeBeomseok HongKwangmi Ko KimPublished in: RACS (2015)
Keyphrases
- ensemble learning
- social networks
- weighted voting
- ensemble classifier
- document set
- ensemble methods
- expert finding
- document content
- topic modeling
- majority voting
- document collections
- topic specific
- topic hierarchy
- topic segmentation
- textual content
- multi document summarization
- document level
- information retrieval
- information retrieval systems
- web documents
- latent topics
- topic models
- influence propagation
- document retrieval
- text documents
- related documents
- focused crawling
- news stories
- document clustering
- xml documents
- social media
- machine learning
- social network analysis
- relevant documents
- community detection
- feature selection
- user interests
- query topic
- online social networks
- automatic summarization
- word frequency
- digital libraries
- text corpora
- retrieval systems
- document classification
- latent dirichlet allocation
- sentiment polarity
- metadata
- citation networks
- keywords
- concept space
- web communities
- news articles