Feature Selection Using Sampling with Replacement, Covering Arrays and Rule-Induction Techniques to Aid Polarity Detection in Twitter Sentiment Analysis.
Jorge VillegasCarlos CobosMartha MendozaEnrique Herrera-ViedmaPublished in: IBERAMIA (2018)
Keyphrases
- sentiment analysis
- rule induction
- text classification
- feature selection
- social media content
- sentiment classification
- opinion mining
- public opinion
- covering arrays
- decision trees
- sentence level
- rough sets
- decision rules
- micro blog
- social media
- text categorization
- natural language processing
- data mining
- text mining
- knowledge discovery in databases
- feature set
- classification rules
- test cases
- rule sets
- social networks
- machine learning
- sentiment lexicon
- rough set theory
- novelty detection
- product features
- product reviews
- data sets
- positive or negative
- context free grammars
- decision table
- online social networks
- naive bayes
- object oriented