| 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 | 5302 | 1998 |
| Text classification from labeled and unlabeled documents using EM K Nigam, AK McCallum, S Thrun, T Mitchell Machine learning 39 (2), 103-134, 2000 | 4043 | 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 | 1492 | 2000 |
| Analyzing the effectiveness and applicability of co-training K Nigam, R Ghani Proceedings of the ninth international conference on Information and …, 2000 | 1346 | 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 | 1329 | 1999 |
| Employing EM and pool-based active learning for text classification AK McCallumzy, K Nigamy Proc. International Conference on Machine Learning (ICML), 359-367, 1998 | 1152 | 1998 |
| Automating the construction of internet portals with machine learning AK McCallum, K Nigam, J Rennie, K Seymore Information Retrieval 3 (2), 127-163, 2000 | 1023 | 2000 |
| Learning to extract symbolic knowledge from the World Wide Web M Craven, A McCallum, D PiPasquo, T Mitchell, D Freitag Carnegie-mellon univ pittsburgh pa school of computer Science, 1998 | 992 | 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 | 668 | 2000 |
| Using EM to classify text from labeled and unlabeled documents K Nigam, A McCallum, S Thrun, T Mitchell CARNEGIE-MELLON UNIV PITTSBURGH PA SCHOOL OF COMPUTER SCIENCE, 1998 | 553 | 1998 |
| Using EM to classify text from labeled and unlabeled documents K Nigam, A McCallum, S Thrun, T Mitchell CARNEGIE-MELLON UNIV PITTSBURGH PA SCHOOL OF COMPUTER SCIENCE, 1998 | 548 | 1998 |
| Using EM to classify text from labeled and unlabeled documents K Nigam, A McCallum, S Thrun, T Mitchell CARNEGIE-MELLON UNIV PITTSBURGH PA SCHOOL OF COMPUTER SCIENCE, 1998 | 548 | 1998 |
| A machine learning approach to building domain-specific search engines A McCallum, K Nigam, J Rennie, K Seymore IJCAI 99, 662-667, 1999 | 273 | 1999 |
| Intrusive software management N Provos, Y Zhou, CW Bavor, EL Davis, M Palatucci, KP Nigam, ... US Patent App. 12/041,309, 2009 | 271 | 2009 |
| 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 | 268 | 2005 |
| Topical sentiments in electronically stored communications KP Nigam, MF Hurst US Patent 7,523,085, 2009 | 258 | 2009 |
| Topical sentiments in electronically stored communications KP Nigam, MF Hurst US Patent 7,523,085, 2009 | 258 | 2009 |
| 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 | 255 | 1999 |
| Using unlabeled data to improve text classification KP Nigam Carnegie Mellon University, 2001 | 226 | 2001 |
| Semi-Supervised Text Classification Using EM. K Nigam, A McCallum, TM Mitchell Semi-Supervised Learning, 32-55, 2006 | 199 | 2006 |
