A comparative study of automated legal text classification using random forests and deep learning.
Haihua ChenLei WuJiangping ChenWei LuJunhua DingPublished in: Inf. Process. Manag. (2022)
Keyphrases
- random forests
- deep learning
- text classification
- unsupervised learning
- machine learning
- random forest
- machine learning algorithms
- logistic regression
- decision trees
- ensemble methods
- naive bayes
- text categorization
- bag of words
- text mining
- feature selection
- multi label
- labeled data
- decision tree ensembles
- machine learning methods
- mental models
- semantic features
- neural network
- semi supervised learning
- knn
- data analysis