Incorporating conditional random fields and active learning to improve sentiment identification.
Kunpeng ZhangYusheng XieYi YangAaron SunHengchang LiuAlok N. ChoudharyPublished in: Neural Networks (2014)
Keyphrases
- conditional random fields
- active learning
- hidden markov models
- markov random field
- information extraction
- graphical models
- crf model
- pairwise
- probabilistic model
- semi markov
- named entity recognition
- higher order
- random fields
- image labeling
- sequence labeling
- markov models
- structured prediction
- parameter learning
- generative model
- semi supervised
- weighted sums
- web page prediction
- sentiment analysis
- markov networks
- approximate inference
- maximum entropy
- learning algorithm
- key features
- training set
- image processing