SeemGo: Conditional Random Fields Labeling and Maximum Entropy Classification for Aspect Based Sentiment Analysis.
Pengfei LiuHelen M. MengPublished in: SemEval@COLING (2014)
Keyphrases
- maximum entropy
- conditional random fields
- sentiment analysis
- text classification
- crf model
- random fields
- markov models
- named entity recognition
- information extraction
- opinion mining
- hidden markov models
- sentiment classification
- higher order
- graphical models
- probabilistic model
- markov random field
- natural language processing
- text mining
- generative model
- sentiment lexicon
- iterative scaling
- pairwise
- active learning
- sentiment words
- feature selection
- text categorization
- training set
- decision trees
- unsupervised learning
- markov networks
- structured prediction
- image segmentation
- supervised learning
- input image
- feature space
- support vector
- max margin