Text Mining Approach Using TF-IDF and Naive Bayes for Classification of Exam Questions Based on Cognitive Level of Bloom's Taxonomy.
Annisa AnindityaMuhammad Azani HasibuanEdi SutoyoPublished in: IoTaIS (2019)
Keyphrases
- naive bayes
- text classification
- tf idf
- text mining
- text documents
- classification accuracy
- text categorization
- decision trees
- naive bayes classifier
- term frequency
- document clustering
- information retrieval
- feature selection
- bag of words
- machine learning
- information gain
- information extraction
- vector space model
- training data
- support vector
- knowledge discovery
- natural language processing
- training set
- feature vectors
- labeled data
- feature extraction
- term weighting
- topic models
- wordnet
- image classification