AMI&ERIC: How to Learn with Naive Bayes and Prior Knowledge: an Application to Sentiment Analysis.
Mohamed DermoucheLeila KhouasJulien VelcinSabine LoudcherPublished in: SemEval@NAACL-HLT (2013)
Keyphrases
- sentiment analysis
- naive bayes
- text classification
- prior knowledge
- opinion mining
- sentiment classification
- logistic regression
- naive bayes classifier
- text categorization
- training data
- decision trees
- labeled data
- text mining
- sentence level
- classification accuracy
- bayesian classifier
- classification algorithm
- text classifiers
- feature selection
- bayesian network classifiers
- text documents
- bayesian networks
- unlabeled data
- product reviews
- knn
- independence assumption
- augmented naive bayes
- natural language processing
- unsupervised learning
- k nearest neighbor
- machine learning
- averaged one dependence estimators
- neural network
- collective classification
- sentiment lexicon
- graphical models
- feature extraction
- information retrieval
- real world
- conditional independence assumption
- databases