Sentiment analysis of mass rapid transit jakarta using naïve bayes classifier and rule-based opinion target detection on Twitter.
Dhanika Jeihan AguintaPutra Pandu AdikaraRandy Cahya WihandikaPublished in: SIET (2020)
Keyphrases
- bayes classifiers
- target detection
- sentiment analysis
- bayes classifier
- rapid transit
- public opinion
- social media content
- opinion mining
- infrared
- text classification
- false alarms
- feature selection
- sentiment classification
- naive bayes
- hyperspectral
- sentence level
- social media
- expert systems
- product reviews
- naive bayes classifier
- visual search
- decision trees
- probability density function
- text mining
- product features
- online social networks
- target tracking
- incomplete data
- online reviews
- support vector machine
- natural language processing
- sar images
- social networks
- micro blogging
- bayesian classifier
- information extraction
- image data
- machine learning
- remote sensing
- text categorization
- face recognition
- sentiment lexicon
- image processing