A Comparative Study of Feature Selection and Machine Learning Algorithms for Arabic Sentiment Classification.
Nazlia OmarMohammed AlbaredTareq Al-MoslmiAdel Al-ShabiPublished in: AIRS (2014)
Keyphrases
- machine learning algorithms
- sentiment classification
- feature selection
- text classification
- machine learning
- sentiment analysis
- input features
- benchmark data sets
- cross domain
- learning algorithm
- text categorization
- online product reviews
- opinion mining
- learning problems
- sentence level
- machine learning methods
- decision trees
- statistical machine learning
- transfer learning
- naive bayes
- feature set
- information gain
- cross lingual
- learning tasks
- standard machine learning algorithms
- feature extraction
- multi class
- labeled data
- machine learning approaches
- n gram
- sentiment polarity
- training data
- text mining
- text documents
- learning models
- knowledge transfer
- support vector machine
- machine learning models
- multi label
- k nearest neighbor
- knn
- data analysis
- artificial intelligence
- natural language processing