The DOI matches its Crossref record; 47 of the 47 references it cites were found in a registry or an index.
Naive (Bayes) at forty: The independence assumption in information retrieval
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Citations
Cites
(1973) · CERN Document Server (European Organization for Nuclear Research) · Cited by 12,895
Introduction to Modern Information Retrieval
Salton, G., & McGill, M. J. (1983) · Virtual Defense Library (Ministerio de Defensa) · Cited by 9,680
Text categorization with Support Vector Machines: Learning with many relevant features
Joachims, T. (1998) · Lecture Notes in Computer Science · doi:10.1007/bfb0026683 · Cited by 7,999
Introduction to modern information retrieval
Dillon, M. (1983) · Information Processing & Management · doi:10.1016/0306-4573(83)90062-6 · Cited by 5,909
Pattern classification and scene analysis
Chien, Y. (1974) · IEEE Transactions on Automatic Control · doi:10.1109/tac.1974.1100577 · Cited by 3,398
On the Optimality of the Simple Bayesian Classifier under Zero-One Loss
Domingos, P., & Pazzani, M. (1997) · Machine Learning · doi:10.1023/a:1007413511361 · Cited by 3,101
Relevance feedback in information retrieval
Rocchio, J. J. (1971) · Medical Entomology and Zoology · Cited by 2,680
Information Retrieval: Data Structures and Algorithms
Frakes, W. B., & Baeza-Yates, R. A. (1992) · Cited by 2,393
The SMART Retrieval System—Experiments in Automatic Document Processing
Salton, G. (1971) · CERN Document Server (European Organization for Nuclear Research) · Cited by 2,252
Relevance weighting of search terms
Robertson, S. E., & Jones, K. S. (1976) · Journal of the American Society for Information Science · doi:10.1002/asi.4630270302 · Cited by 2,081
Cited by
Thumbs up?: sentiment classification using machine learning techniques
Pang, B., Lee, L., & Vaithyanathan, S. (2002) · Proceedings of the ACL-02 conference on Empirical methods in natural language processing - EMNLP '02 · doi:10.3115/1118693.1118704 · Cited by 7,024
Large-scale automated synthesis of human functional neuroimaging data.
Yarkoni, T., Poldrack, R. A., Nichols, T. E., Van Essen, D. C., & Wager, T. D. (2011) · Nature Methods · doi:10.1038/nmeth.1635 · Cited by 3,686
“To assess the ability of our approach to decode and classify cognitive states, we trained a naive Bayes classifie”
Text classification from labeled and unlabeled documents using EM
Nigam, K., Mccallum, A. K., Thrun, S., & Mitchell, T. (2000) · Machine Learning · doi:10.1023/a:1007692713085 · Cited by 2,736
Content-Based Recommendation Systems
Pazzani, M. J., & Billsus, D. (2007) · Lecture Notes in Computer Science · doi:10.1007/978-3-540-72079-9_10 · Cited by 2,600
Is All That Talk Just Noise? The Information Content of Internet Stock Message Boards
Antweiler, W., & Frank, M. Z. (2004) · The Journal of Finance · doi:10.1111/j.1540-6261.2004.00662.x · Cited by 2,373
Metadata
- Authors
- Lewis, D. D.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 1998
- Pages
- 4-15
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W1924689489
- Cited by
- 2,104
- References
- 47
- FWCI
- 13.66
- Type
- conference paper
- Language
- en
- Open access
- bronze
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- Lewis, D. D. (1998). Naive (Bayes) at forty: The independence assumption in information retrieval. Lecture Notes in Computer Science. https://doi.org/10.1007/bfb0026666
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
