Combining Conditional Random Fields and first-order logic for modeling hidden content structure in sentiment analysis.
Lei WuYinghua ZhangWensheng ZhangJue WangPublished in: ICNC (2013)
Keyphrases
- first order logic
- sentiment analysis
- conditional random fields
- markov networks
- probabilistic graphical models
- opinion mining
- markov logic networks
- graphical models
- text classification
- sentiment classification
- probabilistic model
- hidden markov models
- probabilistic reasoning
- knowledge representation
- inductive logic programming
- natural language processing
- information extraction
- higher order
- maximum entropy
- generative model
- named entity recognition
- pairwise
- structure learning
- approximate inference
- information retrieval
- parameter learning
- markov random field
- machine learning
- belief propagation
- co occurrence
- text mining
- maximum margin
- multi class
- web pages
- entity resolution