Multi-label classification of documents using fine-grained weights and modified co-training
Chang‐Hwan Lee · Intelligent Data Analysis · 2018
This paper use multinomial nave Bayes to improve multi-label classification methods in a number of ways. First, we use the value weighting method, a new fine-grained weighting method, to calculate the weights of the feature values. Second, we employ