Approaching Sentiment Analysis by using semi-supervised learning of multi-dimensional classifiers.
Jonathan Ortigosa-HernándezJuan Diego RodríguezLeandro AlzateManuel LucaniaIñaki InzaJosé Antonio LozanoPublished in: Neurocomputing (2012)
Keyphrases
- sentiment analysis
- semi supervised learning
- co training
- supervised classifiers
- text classification
- labeled data
- training data
- labeled and unlabeled data
- unlabeled data
- labeled training data
- semi supervised
- opinion mining
- collective classification
- sentiment classification
- supervised learning
- class labels
- naive bayes
- sentence level
- unlabeled samples
- machine learning
- unsupervised learning
- labeled examples
- feature selection
- text mining
- training set
- user generated
- text categorization
- training examples
- decision trees
- active learning
- support vector
- domain adaptation
- natural language processing
- transfer learning
- machine learning algorithms
- neural network
- feature set
- support vector machine
- learning process
- natural language
- data sets