Empirical Comparisons of CNN with Other Learning Algorithms for Text Classification in Legal Document Review.
Robert KeelingRishi ChhatwalNathaniel Huber-FlifletJianping ZhangFusheng WeiHaozhen ZhaoShi YeHan QinPublished in: CoRR (2019)
Keyphrases
- text classification
- empirical comparisons
- text documents
- document classification
- learning algorithm
- text classifiers
- machine learning
- term frequency
- labeled data
- training documents
- text categorization
- topic discovery
- unlabeled data
- bag of words
- text mining
- automatic text classification
- cellular neural networks
- text data
- naive bayes
- machine learning algorithms
- transfer learning
- sentiment analysis
- knn
- active learning
- training data
- document representation
- document clustering
- document retrieval
- logical structure
- tf idf
- multi label
- document images
- classify documents
- feature selection
- information retrieval
- decision trees
- information retrieval systems
- semi supervised learning
- data cleaning
- accurate classifiers
- supervised learning
- legal reasoning
- learning tasks
- sentiment classification
- document collections
- n gram
- semantic information
- classification algorithm
- language modeling
- learning problems
- document analysis
- current status
- web documents
- probabilistic model
- retrieval systems