Empirical Comparisons of CNN with Other Learning Algorithms for Text Classification in Legal Document Review.
Robert KeelingRishi ChhatwalNathaniel Huber-FlifletJianping ZhangFusheng WeiHaozhen ZhaoYe ShiHan QinPublished in: IEEE BigData (2019)
Keyphrases
- text classification
- empirical comparisons
- text documents
- document classification
- learning algorithm
- text classifiers
- term frequency
- labeled data
- machine learning
- bag of words
- text categorization
- topic discovery
- training documents
- text mining
- automatic text classification
- unlabeled data
- document representation
- cellular neural networks
- data cleaning
- naive bayes
- feature selection
- transfer learning
- document collections
- document images
- document clustering
- text data
- n gram
- legal reasoning
- electronic documents
- accurate classifiers
- knn
- information retrieval
- semi supervised learning
- learning tasks
- multi label
- information retrieval systems
- data mining
- sentiment classification
- semantic information
- supervised learning
- language modeling
- retrieval systems
- training data
- relevant documents
- convolutional neural network
- machine learning algorithms
- active learning
- document retrieval
- sentiment analysis
- semi supervised