| A comparison of event models for naive bayes text classification A McCallum, K Nigam AAAI-98 workshop on learning for text categorization 752 (1), 41-48, 1998 | 5911 | 1998 |
| Text classification from labeled and unlabeled documents using EM K Nigam, AK McCallum, S Thrun, T Mitchell Machine learning 39, 103-134, 2000 | 4335 | 2000 |
| Automating the construction of internet portals with machine learning AK McCallum, K Nigam, J Rennie, K Seymore Information Retrieval 3, 127-163, 2000 | 1632 | 2000 |
| Efficient clustering of high-dimensional data sets with application to reference matching A McCallum, K Nigam, LH Ungar Proceedings of the sixth ACM SIGKDD international conference on Knowledge …, 2000 | 1616 | 2000 |
| Analyzing the effectiveness and applicability of co-training K Nigam, R Ghani Proceedings of the ninth international conference on Information and …, 2000 | 1503 | 2000 |
| Using maximum entropy for text classification K Nigam, J Lafferty, A McCallum IJCAI-99 workshop on machine learning for information filtering 1 (1), 61-67, 1999 | 1417 | 1999 |
| Employing EM and Pool-Based Active Learning for Text Classification. AK McCallum, K Nigam ICML 98, 350-358, 1998 | 1295 | 1998 |
| Learning to extract symbolic knowledge from the World Wide Web M Craven, D DiPasquo, D Freitag, A McCallum, T Mitchell, K Nigam, ... AAAI/IAAI 3 (3.6), 2, 1998 | 1086 | 1998 |
| Learning to construct knowledge bases from the World Wide Web M Craven, D DiPasquo, D Freitag, A McCallum, T Mitchell, K Nigam, ... Artificial intelligence 118 (1-2), 69-113, 2000 | 709 | 2000 |
| Using em to classify text from labeled and unlabeled documents K Nigam, A MacCallum, S Thrun Carnegie-Mellon University. Department of Computer Science, 1998 | 593 | 1998 |
| Intrusive software management N Provos, Y Zhou, CW Bavor, EL Davis, M Palatucci, KP Nigam, ... US Patent App. 12/041,309, 2009 | 303 | 2009 |
| Topical sentiments in electronically stored communications KP Nigam, MF Hurst US Patent 7,523,085, 2009 | 294 | 2009 |
| A machine learning approach to building domain-specific search engines A McCallum, K Nigam, J Rennie, K Seymore IJCAI 99, 662-667, 1999 | 293 | 1999 |
| Deriving marketing intelligence from online discussion N Glance, M Hurst, K Nigam, M Siegler, R Stockton, T Tomokiyo Proceedings of the eleventh ACM SIGKDD international conference on Knowledge …, 2005 | 284 | 2005 |
| Building domain-specific search engines with machine learning techniques A McCallumzy, K Nigamy, J Renniey, K Seymorey Proceedings of the AAAI Spring Symposium on Intelligent Agents in Cyberspace …, 1999 | 261 | 1999 |
| Using unlabeled data to improve text classification KP Nigam Carnegie Mellon University, 2001 | 241 | 2001 |
| Semi-supervised text classification using EM K Nigam, A McCallum, T Mitchell | 221 | 2006 |
| Text classification by bootstrapping with keywords, EM and shrinkage A McCallum, K Nigam Unsupervised learning in natural language processing, 1999 | 190 | 1999 |
| Bootstrapping for text learning tasks R Jones, A McCallum, K Nigam, E Riloff IJCAI-99 Workshop on Text Mining: Foundations, Techniques and Applications 1 (7), 1999 | 162 | 1999 |
| Towards a robust metric of opinion K Nigam, M Hurst AAAI spring symposium on exploring attitude and affect in text 598603, 2004 | 156 | 2004 |
