Topic features for machine learning-based sentiment analysis in Indonesian tweets.
Hendri MurfiFurida Lusi SiagianYudi SatriaPublished in: Int. J. Intell. Comput. Cybern. (2019)
Keyphrases
- sentiment analysis
- machine learning
- text classification
- opinion mining
- product features
- sentiment classification
- text mining
- supervised classifiers
- sentiment polarity
- product reviews
- natural language processing
- social media content
- public opinion
- sentence level
- user generated
- news articles
- multi aspect
- topic models
- co occurrence
- information extraction
- social media
- natural language
- learning algorithm
- named entities
- supervised classification
- topic modeling
- knowledge representation
- positive or negative
- active learning
- feature selection
- sentiment lexicon
- information retrieval