The Use of Dynamic n-Gram to Enhance TF-IDF Features Extraction for Bahasa Indonesia Cyberbullying Classification.
Yudi SetiawanNur Ulfa MaulideviKridanto SurendroPublished in: ICSCA (2023)
Keyphrases
- features extraction
- n gram
- tf idf
- language modelling
- text classification
- automatic classification
- language model
- weighting scheme
- term frequency
- bag of words
- language modeling
- retrieval model
- information retrieval
- feature extraction
- text categorization
- text documents
- document clustering
- character recognition
- decision trees
- knowledge discovery
- feature space
- feature selection
- web documents
- vector space model
- support vector
- machine learning
- image processing
- data mining
- image classification
- wavelet transform
- image features
- classification accuracy
- query processing