Multi-Objective Model Selection (MOMS)-based Semi-Supervised Framework for Sentiment Analysis.
Farhan Hassan KhanUsman QamarSaba BashirPublished in: Cogn. Comput. (2016)
Keyphrases
- model selection
- sentiment analysis
- multi objective
- semi supervised
- statistical inference
- cross validation
- sentiment classification
- opinion mining
- sentence level
- regression model
- parameter estimation
- text classification
- mixture model
- selection criterion
- data mining
- machine learning
- model selection criteria
- gaussian process
- semi supervised learning
- natural language processing
- supervised learning
- probabilistic model
- prior knowledge