Turning from TF-IDF to TF-IGM for term weighting in text classification.
Kewen ChenZuping ZhangJun LongHao ZhangPublished in: Expert Syst. Appl. (2016)
Keyphrases
- tf idf
- term weighting
- text classification
- text categorization
- text documents
- term frequency
- weighting scheme
- term frequency inverse document frequency
- bag of words
- text mining
- information retrieval
- inverse document frequency
- feature selection
- document clustering
- weighting schemes
- labeled data
- vector space model
- n gram
- knn
- term weights
- retrieval model
- document frequency
- unlabeled data
- machine learning
- k nearest neighbor
- term weighting schemes
- language modeling
- digital libraries
- ranking algorithm
- semi supervised learning
- unsupervised learning
- bayesian networks