Applications of Logistic Regression and Naive Bayes in Commodity Sentiment Analysis.
Weicong GuoPublished in: IVSP (2022)
Keyphrases
- sentiment analysis
- logistic regression
- naive bayes
- text classification
- decision trees
- text mining
- text categorization
- classification accuracy
- probability estimation
- naive bayes classifier
- logistic regression models
- training data
- bayesian classifier
- cost sensitive
- machine learning
- feature selection
- naive bayes models
- information gain
- text documents
- bayesian classifiers
- labeled data
- natural language processing
- knn
- k nearest neighbor
- base classifiers
- bayesian networks
- probability estimates
- bayesian network classifiers
- transfer learning
- tree augmented naive bayes
- unlabeled data
- prior knowledge
- learning algorithm
- data mining
- data sets