COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
Inductive learning algorithms and representations for text categorization
Proceedings of the seventh international conference on Information and knowledge management
Learning to classify text from labeled and unlabeled documents
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Fast training of support vector machines using sequential minimal optimization
Advances in kernel methods
Suffix arrays: a new method for on-line string searches
SODA '90 Proceedings of the first annual ACM-SIAM symposium on Discrete algorithms
A Space-Economical Suffix Tree Construction Algorithm
Journal of the ACM (JACM)
Text Categorization with Suport Vector Machines: Learning with Many Relevant Features
ECML '98 Proceedings of the 10th European Conference on Machine Learning
Efficient Data Mining from Large Text Databases
Progress in Discovery Science, Final Report of the Japanese Discovery Science Project
Efficient Discovery of Proximity Patterns with Suffix Arrays
CPM '01 Proceedings of the 12th Annual Symposium on Combinatorial Pattern Matching
Using machine learning to improve information access
Using machine learning to improve information access
Support vector machine active learning with applications to text classification
The Journal of Machine Learning Research
MARSYAS: a framework for audio analysis
Organised Sound
Incorporating prior knowledge with weighted margin support vector machines
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Thumbs up?: sentiment classification using machine learning techniques
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
A sentimental education: sentiment analysis using subjectivity summarization based on minimum cuts
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Text classification by labeling words
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Sensitive webpage classification for content advertising
Proceedings of the 1st international workshop on Data mining and audience intelligence for advertising
Entity categorization over large document collections
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Fast logistic regression for text categorization with variable-length n-grams
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Data mining emotion in social network communication: Gender differences in MySpace
Journal of the American Society for Information Science and Technology
Text classification with the support of pruned dependency patterns
Pattern Recognition Letters
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
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Many applications in text processing require significant human effort for either labeling large document collections (when learning statistical models) or extrapolating rules from them (when using knowledge engineering). In this work, we describe away to reduce this effort, while retaining the methods' accuracy, by constructing a hybrid classifier that utilizes human reasoning over automatically discovered text patterns to complement machine learning. Using a standard sentiment-classification dataset and real customer feedback data, we demonstrate that the resulting technique results in significant reduction of the human effort required to obtain a given classification accuracy. Moreover, the hybrid text classifier also results in a significant boost in accuracy over machine-learning based classifiers when a comparable amount of labeled data is used.